Most Influential SIGIR Papers (2024-09)
SIGIR (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval) is one of the top information retrieval conferences in the world. Paper Digest Team analyzes all papers published on SIGIR in the past years, and presents the 15 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest version of this list or the most influential papers from other conferences/journals, please visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2024-09)
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TABLE 1: Most Influential SIGIR Papers (2024-09)
| Year | Rank | Paper | Author(s) |
|---|---|---|---|
| 2024 | 1 | Fine-Tuning LLaMA for Multi-Stage Text Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we leverage LLMs directly to serve as components in the widely used multi-stage text ranking pipeline. |
Xueguang Ma; Liang Wang; Nan Yang; Furu Wei; Jimmy Lin; |
| 2024 | 2 | Large Language Models Can Accurately Predict Searcher Preferences IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We discuss an alternative approach. We take careful feedback from real searchers and use this to select a large language model (LLM), and prompt, that agrees with this feedback; the LLM can then produce labels at scale. |
Paul Thomas; Seth Spielman; Nick Craswell; Bhaskar Mitra; |
| 2024 | 3 | GraphGPT: Graph Instruction Tuning for Large Language Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by the success of large language models (LLMs), we aim to create a graph-oriented LLM capable of exceptional generalization across various datasets and tasks without relying on downstream graph data. |
JIABIN TANG et. al. |
| 2024 | 4 | The Power of Noise: Redefining Retrieval for RAG Systems IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We focus, in particular, on the type of passages IR systems within a RAG solution should retrieve. |
FLORIN CUCONASU et. al. |
| 2024 | 5 | Data-efficient Fine-tuning for LLM-based Recommendation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While coreset selection is closely related to the proposed task, existing coreset selection methods often rely on suboptimal heuristic metrics or entail costly optimization on large-scale recommendation data. To tackle these issues, we introduce two primary objectives for the data pruning task in the context of LLM-based recommendation: 1) high accuracy aims to identify the influential samples that can lead to high overall performance; and 2) high efficiency underlines the low costs of the data pruning process. |
XINYU LIN et. al. |
| 2024 | 6 | On Generative Agents in Recommendation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Agent4Rec, a user simulator in recommendation, leveraging LLM-empowered generative agents equipped with user profile, memory, and actions modules specifically tailored for the recommender system. |
An Zhang; Yuxin Chen; Leheng Sheng; Xiang Wang; Tat-Seng Chua; |
| 2024 | 7 | When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Besides, the large amount of parameters in LLMs leads to huge time and computation consumption by fine-tuning. To address these two problems, we propose a novel parameter efficient fine-tuning framework for multi-task medical applications, dubbed as MOELoRA. |
QIDONG LIU et. al. |
| 2024 | 8 | Evaluating Retrieval Quality in Retrieval-Augmented Generation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel evaluation approach, eRAG, where each document in the retrieval list is individually utilized by the large language model within the RAG system. |
Alireza Salemi; Hamed Zamani; |
| 2024 | 9 | Optimization Methods for Personalizing Large Language Models Through Retrieval Augmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose the first attempt to optimize the retrieval models that deliver a limited number of personal documents to large language models for the purpose of personalized generation. |
Alireza Salemi; Surya Kallumadi; Hamed Zamani; |
| 2024 | 10 | LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Considering the diverse strengths and weaknesses of LLMs, it becomes necessary to develop an ensemble method that leverages their complementary potentials.In this paper, we propose a novel algorithm called LLM-ensemble to ensemble different LLMs’ outputs for attribute value extraction. |
CHENHAO FANG et. al. |
| 2024 | 11 | OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces OpenP5, an open-source platform designed as a resource to facilitate the development, training, and evaluation of LLM-based generative recommender systems for research purposes. |
Shuyuan Xu; Wenyue Hua; Yongfeng Zhang; |
| 2024 | 12 | Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a novel customer service question-answering method that amalgamates RAG with a knowledge graph (KG). |
ZHENTAO XU et. al. |
| 2024 | 13 | LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Additionally, we enrich the existing relevance criteria by considering three key aspects: characterization, penalty, procedure. This comprehensive criteria enriches the dataset and may provides a more holistic perspective. |
HAITAO LI et. al. |
| 2024 | 14 | C-Pack: Packed Resources For General Chinese Embeddings IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce C-Pack, a package of resources that significantly advances the field of general text embeddings for Chinese. |
SHITAO XIAO et. al. |
| 2023 | 1 | Can ChatGPT Write A Good Boolean Query for Systematic Review Literature Search? IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we investigate ChatGPT as a means for automatically formulating and refining complex Boolean queries for systematic review literature search. |
Shuai Wang; Harrisen Scells; Bevan Koopman; Guido Zuccon; |
| 2023 | 2 | Where to Go Next for Recommender Systems? ID- Vs. Modality-based Recommender Models Revisited IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In fact, this question was answered ten years ago when IDRec beats MoRec by a strong margin in both recommendation accuracy and efficiency. We aim to revisit this ‘old’ question and systematically study MoRec from several aspects. |
ZHENG YUAN et. al. |
| 2023 | 3 | Large Language Models Are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In addition, most existing methods struggle to reason over complex questions since the essential information is scattered in different places. To alleviate the above challenges, we exploit large language models (LLMs) as decomposers for effective table-based reasoning, which (i) decompose huge evidence (a huge table) into sub-evidence (a small table) to mitigate the interference of useless information for table reasoning, and (ii) decompose a complex question into simpler sub-questions for text reasoning. |
YUNHU YE et. al. |
| 2023 | 4 | RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing attempts usually formulate text ranking as a classification problem and rely on postprocessing to obtain a ranked list. In this paper, we propose RankT5 and study two T5-based ranking model structures, an encoder-decoder and an encoder-only one, so that they not only can directly output ranking scores for each query-document pair, but also can be fine-tuned with pairwise or listwise ranking losses to optimize ranking performance. |
HONGLEI ZHUANG et. al. |
| 2023 | 5 | FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce FiD-Light to strongly increase the efficiency of the state-of-the-art retrieval-augmented FiD model, while maintaining the same level of effectiveness. |
Sebastian Hofstätter; Jiecao Chen; Karthik Raman; Hamed Zamani; |
| 2023 | 6 | End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose end-to-end multimodal fact-checking and explanation generation, where the input is a claim and a large collection of web sources, including articles, images, videos, and tweets, and the goal is to assess the truthfulness of the claim by retrieving relevant evidence and predicting a truthfulness label (e.g., support, refute or not enough information), and to generate a statement to summarize and explain the reasoning and ruling process. |
Barry Menglong Yao; Aditya Shah; Lichao Sun; Jin-Hee Cho; Lifu Huang; |
| 2023 | 7 | Aligning Distillation For Cold-start Item Recommendation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As a result, generative models may over-recommend either warm or cold items, neglecting the other type, and dropout models may negatively impact warm item recommendations. To address this, we propose the Aligning Distillation (ALDI) framework, which leverages warm items as "teachers" to transfer their behavioral information to cold items, referred to as "students". |
FEIRAN HUANG et. al. |
| 2023 | 8 | SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing pre-trained language models designed for general purposes have not been equipped to handle legal elements. To address these issues, in this paper, we propose SAILER, a new Structure-Aware pre-traIned language model for LEgal case Retrieval. |
HAITAO LI et. al. |
| 2023 | 9 | Best Prompts for Text-to-Image Models and How to Find Them IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose a human-in-the-loop method for discovering the most effective combination of prompt keywords using a genetic algorithm. |
Nikita Pavlichenko; Dmitry Ustalov; |
| 2023 | 10 | Diffusion Recommender Model IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In light of the impressive advantages of Diffusion Models (DMs) over traditional generative models in image synthesis, we propose a novel Diffusion Recommender Model (named DiffRec) to learn the generative process in a denoising manner. |
WENJIE WANG et. al. |
| 2023 | 11 | T2Ranking: A Large-scale Chinese Benchmark for Passage Ranking IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For non-English scenarios, such as Chinese, the existing datasets are limited in terms of data scale, fine-grained relevance annotation and false negative issues. To address this problem, we introduce T2Ranking, a large-scale Chinese benchmark for passage ranking. |
XIAOHUI XIE et. al. |
| 2023 | 12 | Disentangled Contrastive Collaborative Filtering IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While many of them show their effectiveness, two key questions still remain unexplored: i) Most existing GCL-based CF models are still limited by ignoring the fact that user-item interaction behaviors are often driven by diverse latent intent factors (e.g., shopping for family party, preferred color or brand of products); ii) Their introduced non-adaptive augmentation techniques are vulnerable to noisy information, which raises concerns about the model’s robustness and the risk of incorporating misleading self-supervised signals. In light of these limitations, we propose a Disentangled Contrastive Collaborative Filtering framework (DCCF) to realize intent disentanglement with self-supervised augmentation in an adaptive fashion. |
Xubin Ren; Lianghao Xia; Jiashu Zhao; Dawei Yin; Chao Huang; |
| 2023 | 13 | One-Shot Labeling for Automatic Relevance Estimation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Holes can reduce the apparent effectiveness of retrieval systems during evaluation and introduce biases in models trained with incomplete data. In this work, we explore whether large language models can help us fill such holes to improve offline evaluations. |
Sean MacAvaney; Luca Soldaini; |
| 2023 | 14 | Learn from Relational Correlations and Periodic Events for Temporal Knowledge Graph Reasoning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Thus, such insufficient mining manners hinder expressive ability, leading to sub-optimal performances. To address these limitations, we propose a novel reasoning model, termed RPC, which sufficiently mines the information underlying the Relational correlations and Periodic patterns via two novel Correspondence units, i.e., relational correspondence unit (RCU) and periodic correspondence unit (PCU). |
KE LIANG et. al. |
| 2023 | 15 | Frequency Enhanced Hybrid Attention Network for Sequential Recommendation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we shift the perspective to the frequency domain, and propose a novel Frequency Enhanced Hybrid Attention Network for Sequential Recommendation, namely FEARec. |
XINYU DU et. al. |
| 2022 | 1 | Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Meanwhile, we reveal that the graph augmentations, which used to be considered necessary, just play a trivial role. Based on this finding, we propose a simple CL method which discards the graph augmentations and instead adds uniform noises to the embedding space for creating contrastive views. |
JUNLIANG YU et. al. |
| 2022 | 2 | Knowledge Graph Contrastive Learning for Recommendation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Specifically, we propose a knowledge graph augmentation schema to suppress KG noise in information aggregation, and derive more robust knowledge-aware representations for items. |
Yuhao Yang; Chao Huang; Lianghao Xia; Chenliang Li; |
| 2022 | 3 | Hypergraph Contrastive Collaborative Filtering IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, two key challenges have not been well explored in existing solutions: i) The over-smoothing effect with deeper graph-based CF architecture, may cause the indistinguishable user representations and degradation of recommendation results. ii) The supervision signals (i.e., user-item interactions) are usually scarce and skewed distributed in reality, which limits the representation power of CF paradigms. To tackle these challenges, we propose a new self-supervised recommendation framework Hypergraph Contrastive Collaborative Filtering (HCCF) to jointly capture local and global collaborative relations with a hypergraph-enhanced cross-view contrastive learning architecture. |
LIANGHAO XIA et. al. |
| 2022 | 4 | Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by the recent success of contrastive learning in mining supervised signals from data itself, in this paper, we focus on exploring the contrastive learning in KG-aware recommendation and propose a novel multi-level cross-view contrastive learning mechanism, named MCCLK. |
DING ZOU et. al. |
| 2022 | 5 | From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we build on SPLADE — a sparse expansion-based retriever — and show to which extent it is able to benefit from the same training improvements as dense models, by studying the effect of distillation, hard-negative mining as well as the Pre-trained Language Model initialization. |
Thibault Formal; Carlos Lassance; Benjamin Piwowarski; Stéphane Clinchant; |
| 2022 | 6 | GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Instead, we propose a user-agnostic global trajectory flow map and a novel Graph Enhanced Transformer model (GETNext) to better exploit the extensive collaborative signals for a more accurate next POI prediction, and alleviate the cold start problem in the meantime. |
Song Yang; Jiamou Liu; Kaiqi Zhao; |
| 2022 | 7 | Decoupled Side Information Fusion for Sequential Recommendation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Also, it involves mixed correlations among the different heterogeneous information resources, which brings extra disturbance to attention calculation. Motivated by this, we propose Decoupled Side Information Fusion for Sequential Recommendation (DIF-SR), which moves the side information from the input to the attention layer and decouples the attention calculation of various side information and item representation. |
Yueqi Xie; Peilin Zhou; Sunghun Kim; |
| 2022 | 8 | CenterCLIP: Token Clustering for Efficient Text-Video Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, to reduce the number of redundant video tokens, we design a multi-segment token clustering algorithm to find the most representative tokens and drop the non-essential ones. |
Shuai Zhao; Linchao Zhu; Xiaohan Wang; Yi Yang; |
| 2022 | 9 | Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a hybrid transformer with multi-level fusion to address those issues. |
XIANG CHEN et. al. |
| 2022 | 10 | BARS: Towards Open Benchmarking for Recommender Systems IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This largely limits the credibility and practical value of research results in this field. To tackle these issues, we present an initiative project aimed for open benchmarking for recommender systems. |
JIEMING ZHU et. al. |
| 2022 | 11 | Graph Trend Filtering Networks for Recommendation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we investigate the drawbacks (e.g., non-adaptive propagation and non-robustness) of existing GNN-based recommendation methods. |
WENQI FAN et. al. |
| 2022 | 12 | A Review-aware Graph Contrastive Learning Framework for Recommendation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, in this paper, we propose a novel Review-aware Graph Contrastive Learning (RGCL) framework for review-based recommendation. |
JIE SHUAI et. al. |
| 2022 | 13 | InPars: Unsupervised Dataset Generation for Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we harness the few-shot capabilities of large pretrained language models as synthetic data generators for IR tasks. |
Luiz Bonifacio; Hugo Abonizio; Marzieh Fadaee; Rodrigo Nogueira; |
| 2022 | 14 | CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present an optimization-based re-ranking approach that seamlessly integrates fairness constraints from both the consumer and producer-side in a joint objective framework. |
Mohammadmehdi Naghiaei; Hossein A. Rahmani; Yashar Deldjoo; |
| 2022 | 15 | ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we theoretically demonstrate that ESMM suffers from the following two problems: (1) Inherent Estimation Bias (IEB) for CVR estimation, where the CVR estimate is inherently higher than the ground truth; (2) Potential Independence Priority (PIP) for CTCVR estimation, where ESMM might overlook the causality from click to conversion. |
HAO WANG et. al. |
| 2021 | 1 | Self-supervised Graph Learning for Recommendation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we explore self-supervised learning on user-item graph, so as to improve the accuracy and robustness of GCNs for recommendation. |
JIANCAN WU et. al. |
| 2021 | 2 | Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations. |
JIMMY LIN et. al. |
| 2021 | 3 | Efficiently Teaching An Effective Dense Retriever with Balanced Topic Aware Sampling IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Instead of relying on more compute capability, we introduce an efficient topic-aware query and balanced margin sampling technique, called TAS-Balanced. |
Sebastian Hofstätter; Sheng-Chieh Lin; Jheng-Hong Yang; Jimmy Lin; Allan Hanbury; |
| 2021 | 4 | Causal Intervention for Leveraging Popularity Bias in Recommendation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To achieve our goal, we propose a new training and inference paradigm for recommendation named Popularity-bias Deconfounding and Adjusting (PDA). |
YANG ZHANG et. al. |
| 2021 | 5 | Sequential Recommendation with Graph Neural Networks IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a graph neural network model called SURGE (short forSeqUential Recommendation with Graph neural nEtworks) to address these two issues. |
JIANXIN CHANG et. al. |
| 2021 | 6 | WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce the Wikipedia-based Image Text (WIT) Dataset to better facilitate multimodal, multilingual learning. |
Krishna Srinivasan; Karthik Raman; Jiecao Chen; Michael Bendersky; Marc Najork; |
| 2021 | 7 | Optimizing Dense Retrieval Model Training with Hard Negatives IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Therefore, we propose two training strategies named a Stable Training Algorithm for dense Retrieval (STAR) and a query-side training Algorithm for Directly Optimizing Ranking pErformance (ADORE), respectively. |
JINGTAO ZHAN et. al. |
| 2021 | 8 | SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a new first-stage ranker based on explicit sparsity regularization and a log-saturation effect on term weights, leading to highly sparse representations and competitive results with respect to state-of-the-art dense and sparse methods. |
Thibault Formal; Benjamin Piwowarski; Stéphane Clinchant; |
| 2021 | 9 | User Preference-aware Fake News Detection IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Therefore, in this paper, we study the novel problem of exploiting user preference for fake news detection. |
Yingtong Dou; Kai Shu; Congying Xia; Philip S. Yu; Lichao Sun; |
| 2021 | 10 | Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To capture these properties effectively and efficiently, we propose a novel Recurrent Evolution network based on Graph Convolution Network (GCN), called RE-GCN, which learns the evolutional representations of entities and relations at each timestamp by modeling the KG sequence recurrently. |
ZIXUAN LI et. al. |
| 2021 | 11 | AutoDebias: Learning to Debias for Recommendation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To move this idea forward, we propose AotoDebias that leverages another (small) set of uniform data to optimize the debiasing parameters by solving the bi-level optimization problem with meta-learning. |
JIAWEI CHEN et. al. |
| 2021 | 12 | Deconfounded Video Moment Retrieval with Causal Intervention IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To fill the research gap, we propose a causality-inspired VMR framework that builds structural causal model to capture the true effect of query and video content on the prediction. |
Xun Yang; Fuli Feng; Wei Ji; Meng Wang; Tat-Seng Chua; |
| 2021 | 13 | Graph Meta Network for Multi-Behavior Recommendation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To tackle the above challenges, we propose a Multi-Behavior recommendation framework with Graph Meta Network to incorporate the multi-behavior pattern modeling into a meta-learning paradigm. |
Lianghao Xia; Yong Xu; Chao Huang; Peng Dai; Liefeng Bo; |
| 2021 | 14 | Clicks Can Be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we formulate the recommendation models as a causal graph that reflects the cause-effect factors in recommendation, and address the clickbait issue by performing counterfactual inference on the causal graph. |
Wenjie Wang; Fuli Feng; Xiangnan He; Hanwang Zhang; Tat-Seng Chua; |
| 2021 | 15 | Empowering News Recommendation with Pre-trained Language Models IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we report our work on pre-trained language models empowered news recommendation (PLM-NR). |
Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang; |
| 2020 | 1 | LightGCN: Simplifying And Powering Graph Convolution Network For Recommendation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we aim to simplify the design of GCN to make it more concise and appropriate for recommendation. |
XIANGNAN HE et. al. |
| 2020 | 2 | ColBERT: Efficient And Effective Passage Search Via Contextualized Late Interaction Over BERT IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To tackle this, we present ColBERT, a novel ranking model that adapts deep LMs (in particular, BERT) for efficient retrieval. |
Omar Khattab; Matei Zaharia; |
| 2020 | 3 | Disentangled Graph Collaborative Filtering IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we pay special attention to user-item relationships at the finer granularity of user intents. |
XIANG WANG et. al. |
| 2020 | 4 | Global Context Enhanced Graph Neural Networks For Session-based Recommendation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel approach, called Global Context Enhanced Graph Neural Networks (GCE-GNN) to exploit item transitions over all sessions in a more subtle manner for better inferring the user preference of the current session. |
ZIYANG WANG et. al. |
| 2020 | 5 | Multi-behavior Recommendation With Graph Convolutional Networks IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we approach this problem by innovatively constructing a unified graph to represent multi-behavior data and proposing a new model named MBGCN (short for Multi-Behavior Graph Convolutional Network ). |
Bowen Jin; Chen Gao; Xiangnan He; Depeng Jin; Yong Li; |
| 2020 | 6 | Next-item Recommendation With Sequential Hypergraphs IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Thus, we are motivated to develop a novel next-item recommendation framework empowered by sequential hypergraphs. |
Jianling Wang; Kaize Ding; Liangjie Hong; Huan Liu; James Caverlee; |
| 2020 | 7 | Streaming Graph Neural Networks IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Hence, in this paper, we propose DyGNN, a Dynamic Graph Neural Network model, which can model the dynamic information as the graph evolving. |
Yao Ma; Ziyi Guo; Zhaocun Ren; Jiliang Tang; Dawei Yin; |
| 2020 | 8 | Alleviating The Inconsistency Problem Of Applying Graph Neural Network To Fraud Detection IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce these inconsistencies and design a new GNN framework, GraphConsis, to tackle the inconsistency problem: (1) for the context inconsistency, we propose to combine the context embeddings with node features; (2) for the feature inconsistency, we design a consistency score to filter the inconsistent neighbors and generate corresponding sampling probability; (3) for the relation inconsistency, we learn the relation attention weights associated with the sampled nodes. |
Zhiwei Liu; Yingtong Dou; Philip S. Yu; Yutong Deng; Hao Peng; |
| 2020 | 9 | TAGNN: Target Attentive Graph Neural Networks For Session-based Recommendation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel target attentive graph neural network (TAGNN) model for session-based recommendation. |
FENG YU et. al. |
| 2020 | 10 | CKAN: Collaborative Knowledge-aware Attentive Network For Recommender Systems IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel method named Collaborative Knowledge-aware Attentive Network (CKAN) which explicitly encodes the collaborative signals by collaboration propagation and proposes a natural way of combining collaborative signals with knowledge associations together. |
Ze Wang; Guangyan Lin; Huobin Tan; Qinghong Chen; Xiyang Liu; |
| 2020 | 11 | Controlling Fairness And Bias In Dynamic Learning-to-Rank IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We, therefore, present a learning-to-rank approach for explicitly enforcing merit-based fairness guarantees to groups of items (e.g. articles by the same publisher, tracks by the same artist). |
Marco Morik; Ashudeep Singh; Jessica Hong; Thorsten Joachims; |
| 2020 | 12 | Fairness-Aware Explainable Recommendation Over Knowledge Graphs IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we analyze different groups of users according to their level of activity, and find that bias exists in recommendation performance between different groups. |
ZUOHUI FU et. al. |
| 2020 | 13 | Self-Supervised Reinforcement Learning For Recommender Systems IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose self-supervised reinforcement learning for sequential recommendation tasks. |
Xin Xin; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose; |
| 2020 | 14 | A General Knowledge Distillation Framework For Counterfactual Recommendation Via Uniform Data IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we focus on solving the bias problems in a recommender system via a uniform data. |
DUGANG LIU et. al. |
| 2020 | 15 | DGL-KE: Training Knowledge Graph Embeddings At Scale IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents DGL-KE, an open-source package to efficiently compute knowledge graph embeddings. |
DA ZHENG et. al. |
| 2019 | 1 | Neural Graph Collaborative Filtering IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose to integrate the user-item interactions – more specifically the bipartite graph structure – into the embedding process. |
Xiang Wang; Xiangnan He; Meng Wang; Fuli Feng; Tat-Seng Chua; |
| 2019 | 2 | A Neural Influence Diffusion Model For Social Recommendation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a deep influence propagation model to stimulate how users are influenced by the recursive social diffusion process for social recommendation. |
LE WU et. al. |
| 2019 | 3 | Reinforcement Knowledge Graph Reasoning For Explainable Recommendation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Unlike most existing approaches that only focus on leveraging knowledge graphs for more accurate recommendation, we aim to conduct explicit reasoning with knowledge for decision making so that the recommendations are generated and supported by an interpretable causal inference procedure. |
Yikun Xian; Zuohui Fu; S. Muthukrishnan; Gerard de Melo; Yongfeng Zhang; |
| 2019 | 4 | Deeper Text Understanding For IR With Contextual Neural Language Modeling IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a Deep Contextualized Term Weighting framework (DeepCT) that identifies import terms by taking into consideration the meaning of the term and the role it plays in a specific context. |
Zhuyun Dai; Jamie Callan; |
| 2019 | 5 | CEDR: Contextualized Embeddings For Document Ranking IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we investigate how two pretrained contextualized language models (ELMo and BERT) can be utilized for ad-hoc document ranking. |
Sean MacAvaney; Andrew Yates; Arman Cohan; Nazli Goharian; |
| 2019 | 6 | Asking Clarifying Questions In Open-Domain Information-Seeking Conversations IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we formulate the task of asking clarifying questions in open-domain information-seeking conversational systems. To this end, we propose an offline evaluation methodology for the task and collect a dataset, called Qulac, through crowdsourcing. |
Mohammad Aliannejadi; Hamed Zamani; Fabio Crestani; W. Bruce Croft; |
| 2019 | 7 | Personalized Fashion Recommendation With Visual Explanations Based On Multimodal Attention Network: Towards Visually Explainable Recommendation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel neural architecture for fashion recommendation based on both image region-level features and user review information. |
XU CHEN et. al. |
| 2019 | 8 | A Collaborative Session-based Recommendation Approach With Parallel Memory Modules IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a Collaborative Session-based Recommendation Machine (CSRM), a novel hybrid framework to apply collaborative neighborhood information to session-based recommendations. |
MEIRUI WANG et. al. |
| 2019 | 9 | BERT With History Answer Embedding For Conversational Question Answering IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a conceptually simple yet highly effective approach referred to as history answer embedding. |
CHEN QU et. al. |
| 2019 | 10 | Cross-Modal Interaction Networks For Query-Based Moment Retrieval In Videos IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel Cross-Modal Interaction Network (CMIN) to consider multiple crucial factors for this challenging task, including (1) the syntactic structure of natural language queries; (2) long-range semantic dependencies in video context and (3) the sufficient cross-modal interaction. |
Zhu Zhang; Zhijie Lin; Zhou Zhao; Zhenxin Xiao; |
| 2019 | 11 | Warm Up Cold-start Advertisements: Improving CTR Predictions Via Learning To Learn ID Embeddings IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we aim to improve CTR predictions during both the cold-start phase and the warm-up phase when a new ad is added to the candidate pool. |
Feiyang Pan; Shuokai Li; Xiang Ao; Pingzhong Tang; Qing He; |
| 2019 | 12 | Hate Speech Detection Is Not As Easy As You May Think: A Closer Look At Model Validation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we analyze this apparent contradiction between existing literature and actual applications. |
Aym� Arango; Jorge P�rez; Barbara Poblete; |
| 2019 | 13 | Relational Collaborative Filtering: Modeling Multiple Item Relations For Recommendation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose Relational Collaborative Filtering (RCF) to exploit multiple item relations in recommender systems. |
Xin Xin; Xiangnan He; Yongfeng Zhang; Yongdong Zhang; Joemon Jose; |
| 2019 | 14 | Knowledge Tracing With Sequential Key-Value Memory Networks IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we address these limitations by proposing a novel deep learning model for knowledge tracing, namely Sequential Key-Value Memory Networks (SKVMN). |
Ghodai Abdelrahman; Qing Wang; |
| 2019 | 15 | Transparent, Scrutable And Explainable User Models For Personalized Recommendation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a new set-based recommendation technique that permits the user model to be explicitly presented to users in natural language, empowering users to understand recommendations made and improve the recommendations dynamically. |
Krisztian Balog; Filip Radlinski; Shushan Arakelyan; |
| 2018 | 1 | Modeling Long- And Short-Term Temporal Patterns With Deep Neural Networks IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we proposed a novel deep learning framework, namely Long- and Short-term Time-series network (LSTNet), to address this open challenge. |
Guokun Lai; Wei-Cheng Chang; Yiming Yang; Hanxiao Liu; |
| 2018 | 2 | Neural Approaches To Conversational AI IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For each category, we present a review of state-of-the-art neural approaches, draw the connection between neural approaches and traditional symbolic approaches, and discuss the progress we have made and challenges we are facing, using specific systems and models as case studies. |
Jianfeng Gao; Michel Galley; Lihong Li; |
| 2018 | 3 | Texygen: A Benchmarking Platform For Text Generation Models IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Texygen, a benchmarking platform to support research on open-domain text generation models. |
YAOMING ZHU et. al. |
| 2018 | 4 | Improving Sequential Recommendation With Knowledge-Enhanced Memory Networks IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address these issues, in this paper, we propose a novel knowledge enhanced sequential recommender. |
Jin Huang; Wayne Xin Zhao; Hongjian Dou; Ji-Rong Wen; Edward Y. Chang; |
| 2018 | 5 | Conversational Recommender System IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose to integrate research in dialog systems and recommender systems into a novel and unified deep reinforcement learning framework to build a personalized conversational recommendation agent that optimizes a per session based utility function. We propose a set of machine actions tailored for recommendation agents and train a deep policy network to decide which action (i.e. asking for the value of a facet or making a recommendation) the agent should take at each step. |
Yueming Sun; Yi Zhang; |
| 2018 | 6 | Equity Of Attention: Amortizing Individual Fairness In Rankings IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes new measures and mechanisms to quantify and mitigate unfairness from a bias inherent to all rankings, namely, the position bias which leads to disproportionately less attention being paid to low-ranked subjects. |
Asia J. Biega; Krishna P. Gummadi; Gerhard Weikum; |
| 2018 | 7 | Adversarial Personalized Ranking For Recommendation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To enhance the robustness of a recommender model and thus improve its generalization performance, we propose a new optimization framework, namely Adversarial Personalized Ranking (APR). |
Xiangnan He; Zhankui He; Xiaoyu Du; Tat-Seng Chua; |
| 2018 | 8 | Entire Space Multi-Task Model: An Effective Approach For Estimating Post-Click Conversion Rate IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we model CVR in a brand-new perspective by making good use of sequential pattern of user actions, i.e., impression -> click -> conversion. |
XIAO MA et. al. |
| 2018 | 9 | Collaborative Memory Network For Recommendation Systems IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose Collaborative Memory Networks (CMN), a deep architecture to unify the two classes of CF models capitalizing on the strengths of the global structure of latent factor model and local neighborhood-based structure in a nonlinear fashion. |
Travis Ebesu; Bin Shen; Yi Fang; |
| 2018 | 10 | Attentive Moment Retrieval In Videos IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We evaluate our method on two datasets: DiDeMo and TACoS. |
MENG LIU et. al. |
| 2018 | 11 | Attentive Group Recommendation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Toward this end, we contribute a novel solution, namely AGREE (short for ”Attentive Group REcommEndation”), to address the preference aggregation problem by learning the aggregation strategy from data, which is based on the recent developments of attention network and neural collaborative filtering (NCF). |
DA CAO et. al. |
| 2018 | 12 | Unbiased Learning To Rank With Unbiased Propensity Estimation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we address those problems by unifying the learning of propensity models and ranking models. |
Qingyao Ai; Keping Bi; Cheng Luo; Jiafeng Guo; W. Bruce Croft; |
| 2018 | 13 | Learning A Deep Listwise Context Model For Ranking Refinement IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by the idea of pseudo relevance feedback where top ranked documents, which we refer as the local ranking context, can provide important information about the query’s characteristics, we propose to use the inherent feature distributions of the top results to learn a Deep Listwise Context Model that helps us fine tune the initial ranked list. |
Qingyao Ai; Keping Bi; Jiafeng Guo; W. Bruce Croft; |
| 2018 | 14 | BiNE: Bipartite Network Embedding IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new method named BiNE, short for Bipartite Network Embedding, to learn the vertex representations for bipartite networks. |
Ming Gao; Leihui Chen; Xiangnan He; Aoying Zhou; |
| 2018 | 15 | Explainable Recommendation Via Multi-Task Learning In Opinionated Text Data IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we develop a multi-task learning solution for explainable recommendation. |
Nan Wang; Hongning Wang; Yiling Jia; Yue Yin; |
| 2017 | 1 | Neural Factorization Machines For Sparse Predictive Analytics IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel model Neural Factorization Machine (NFM) for prediction under sparse settings. |
Xiangnan He; Tat-Seng Chua; |
| 2017 | 2 | Attentive Collaborative Filtering: Multimedia Recommendation With Item- And Component-Level Attention IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel attention mechanism in CF to address the challenging item- and component-level implicit feedback in multimedia recommendation, dubbed Attentive Collaborative Filtering (ACF). |
JINGYUAN CHEN et. al. |
| 2017 | 3 | Deep Learning For Extreme Multi-label Text Classification IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the first attempt at applying deep learning to XMTC, with a family of new Convolutional Neural Network (CNN) models which are tailored for multi-label classification in particular. |
Jingzhou Liu; Wei-Cheng Chang; Yuexin Wu; Yiming Yang; |
| 2017 | 4 | IRGAN: A Minimax Game For Unifying Generative And Discriminative Information Retrieval Models IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a game theoretical minimax game to iteratively optimise both models. |
JUN WANG et. al. |
| 2017 | 5 | End-to-End Neural Ad-hoc Ranking With Kernel Pooling IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes K-NRM, a kernel based neural model for document ranking. |
Chenyan Xiong; Zhuyun Dai; Jamie Callan; Zhiyuan Liu; Russell Power; |
| 2017 | 6 | Neural Ranking Models With Weak Supervision IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Hence, in this paper, we propose to train a neural ranking model using weak supervision, where labels are obtained automatically without human annotators or any external resources (e.g., click data). |
Mostafa Dehghani; Hamed Zamani; Aliaksei Severyn; Jaap Kamps; W. Bruce Croft; |
| 2017 | 7 | Anserini: Enabling The Use Of Lucene For Information Retrieval Research IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces Anserini, a new information retrieval toolkit that aims to provide the best of both worlds, to better align information retrieval practice and research. |
Peilin Yang; Hui Fang; Jimmy Lin; |
| 2017 | 8 | Neural Rating Regression With Abstractive Tips Generation For Recommendation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a deep learning based framework named NRT which can simultaneously predict precise ratings and generate abstractive tips with good linguistic quality simulating user experience and feelings. |
Piji Li; Zihao Wang; Zhaochun Ren; Lidong Bing; Wai Lam; |
| 2017 | 9 | Item Silk Road: Recommending Items From Information Domains To Social Users IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we address the problem of cross-domain social recommendation, i.e., recommending relevant items of information domains to potential users of social networks. |
Xiang Wang; Xiangnan He; Liqiang Nie; Tat-Seng Chua; |
| 2017 | 10 | AutoSVD++: An Efficient Hybrid Collaborative Filtering Model Via Contractive Auto-encoders IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new hybrid model by generalizing contractive auto-encoder paradigm into matrix factorization framework with good scalability and computational efficiency, which jointly models content information as representations of effectiveness and compactness, and leverage implicit user feedback to make accurate recommendations. |
Shuai Zhang; Lina Yao; Xiwei Xu; |
| 2017 | 11 | Relevance-based Word Embedding IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose two learning models with different objective functions; one learns a relevance distribution over the vocabulary set for each query, and the other classifies each term as belonging to the relevant or non-relevant class for each query. |
Hamed Zamani; W. Bruce Croft; |
| 2017 | 12 | Exploiting Food Choice Biases For Healthier Recipe Recommendation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, using insights gained from various data sources, we explore the feasibility of substituting meals that would typically be recommended to users with similar, healthier dishes. |
David Elsweiler; Christoph Trattner; Morgan Harvey; |
| 2017 | 13 | Neural Citation Network For Context-Aware Citation Recommendation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a flexible encoder-decoder architecture called Neural Citation Network (NCN), embodying a robust representation of the citation context with a max time delay neural network, further augmented with an attention mechanism and author networks. |
Travis Ebesu; Yi Fang; |
| 2017 | 14 | DeepStyle: Learning User Preferences For Visual Recommendation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Accordingly, we propose a DeepStyle method for learning style features of items and sensing preferences of users. |
Qiang Liu; Shu Wu; Liang Wang; |
| 2017 | 15 | On Application Of Learning To Rank For E-Commerce Search IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we discuss the practical challenges in applying learning to rank methods to E-Com search, including the challenges in feature representation, obtaining reliable relevance judgments, and optimally exploiting multiple user feedback signals such as click rates, add-to-cart ratios, order rates, and revenue. |
Shubhra Kanti Karmaker Santu; Parikshit Sondhi; ChengXiang Zhai; |
| 2016 | 1 | Fast Matrix Factorization For Online Recommendation With Implicit Feedback IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We highlight two critical issues of existing works. |
Xiangnan He; Hanwang Zhang; Min-Yen Kan; Tat-Seng Chua; |
| 2016 | 2 | A Dynamic Recurrent Model For Next Basket Recommendation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel model, Dynamic REcurrent bAsket Model (DREAM), based on Recurrent Neural Network (RNN). |
Feng Yu; Qiang Liu; Shu Wu; Liang Wang; Tieniu Tan; |
| 2016 | 3 | Learning To Respond With Deep Neural Networks For Retrieval-Based Human-Computer Conversation System IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a retrieval-based conversation system with the deep learning-to-respond schema through a deep neural network framework driven by web data. |
Rui Yan; Yiping Song; Hua Wu; |
| 2016 | 4 | Collaborative Filtering Bandits IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we investigate an adaptive clustering technique for content recommendation based on exploration-exploitation strategies in contextual multi-armed bandit settings. |
Shuai Li; Alexandros Karatzoglou; Claudio Gentile; |
| 2016 | 5 | Topic Modeling For Short Texts With Auxiliary Word Embeddings IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose a simple, fast, and effective topic model for short texts, named GPU-DMM. |
Chenliang Li; Haoran Wang; Zhiqian Zhang; Aixin Sun; Zongyang Ma; |
| 2016 | 6 | Learning To Rank With Selection Bias In Personal Search IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we study the problem of how to leverage sparse click data in personal search and introduce a novel selection bias problem and address it in the learning-to-rank framework. |
Xuanhui Wang; Michael Bendersky; Donald Metzler; Marc Najork; |
| 2016 | 7 | Discrete Collaborative Filtering IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a principled CF hashing framework called Discrete Collaborative Filtering (DCF), which directly tackles the challenging discrete optimization that should have been treated adequately in hashing. |
HANWANG ZHANG et. al. |
| 2016 | 8 | Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Tweet2Vec, a novel method for generating general-purpose vector representation of tweets. |
Soroush Vosoughi; Prashanth Vijayaraghavan; Deb Roy; |
| 2016 | 9 | Multi-Rate Deep Learning For Temporal Recommendation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel deep neural network based architecture that models the combination of long-term static and short-term temporal user preferences to improve the recommendation performance. |
Yang Song; Ali Mamdouh Elkahky; Xiaodong He; |
| 2016 | 10 | GeoBurst: Real-Time Local Event Detection In Geo-Tagged Tweet Streams IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose GeoBurst, a method that enables effective and real-time local event detection from geo-tagged tweet streams. |
CHAO ZHANG et. al. |
| 2016 | 11 | Composite Correlation Quantization For Efficient Multimodal Retrieval IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we approach seamless multimodal hashing by proposing a novel Composite Correlation Quantization (CCQ) model. |
Mingsheng Long; Yue Cao; Jianmin Wang; Philip S. Yu; |
| 2016 | 12 | Learning To Rank Features For Recommendation Over Multiple Categories IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Incorporating phrase-level sentiment analysis on users’ textual reviews for recommendation has became a popular meth-od due to its explainable property for latent features and … |
Xu Chen; Zheng Qin; Yongfeng Zhang; Tao Xu; |
| 2016 | 13 | Predicting User Satisfaction With Intelligent Assistants IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an automatic method to predict user satisfaction with intelligent assistants that exploits all the interaction signals, including voice commands and physical touch gestures on the device. |
JULIA KISELEVA et. al. |
| 2016 | 14 | Searching By Talking: Analysis Of Voice Queries On Mobile Web Search IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we examine the logs of a commercial search engine’s mobile interface, and compare the spoken queries to the typed-in queries. |
Ido Guy; |
| 2016 | 15 | Contextual Bandits In A Collaborative Environment IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we develop a collaborative contextual bandit algorithm, in which the adjacency graph among users is leveraged to share context and payoffs among neighboring users while online updating. |
Qingyun Wu; Huazheng Wang; Quanquan Gu; Hongning Wang; |
| 2015 | 1 | Image-Based Recommendations On Styles And Substitutes IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We seek here to model this human sense of the relationships between objects based on their appearance. We cast this as a network inference problem defined on graphs of related images, and provide a large-scale dataset for the training and evaluation of the same. |
Julian McAuley; Christopher Targett; Qinfeng Shi; Anton van den Hengel; |
| 2015 | 2 | Learning To Rank Short Text Pairs With Convolutional Deep Neural Networks IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a convolutional neural network architecture for reranking pairs of short texts, where we learn the optimal representation of text pairs and a similarity function to relate them in a supervised way from the available training data. |
Aliaksei Severyn; Alessandro Moschitti; |
| 2015 | 3 | Twitter Sentiment Analysis With Deep Convolutional Neural Networks IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The main contribution of this work is a new model for initializing the parameter weights of the convolutional neural network, which is crucial to train an accurate model while avoiding the need to inject any additional features. |
Aliaksei Severyn; Alessandro Moschitti; |
| 2015 | 4 | Learning Hierarchical Representation Model For NextBasket Recommendation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To tackle the above problems, in this paper, we introduce a novel recommendation approach, namely hierarchical representation model (HRM). |
PENGFEI WANG et. al. |
| 2015 | 5 | Rank-GeoFM: A Ranking Based Geographical Factorization Method For Point Of Interest Recommendation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a ranking based geographical factorization method, called Rank-GeoFM, for POI recommendation, which addresses the two challenges. |
Xutao Li; Gao Cong; Xiao-Li Li; Tuan-Anh Nguyen Pham; Shonali Krishnaswamy; |
| 2015 | 6 | GeoSoCa: Exploiting Geographical, Social And Categorical Correlations For Point-of-Interest Recommendations IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To tackle this challenge, in this study we propose a new POI recommendation approach called GeoSoCa through exploiting geographical correlations, social correlations and categorical correlations among users and POIs. |
Jia-Dong Zhang; Chi-Yin Chow; |
| 2015 | 7 | Monolingual And Cross-Lingual Information Retrieval Models Based On (Bilingual) Word Embeddings IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new unified framework for monolingual (MoIR) and cross-lingual information retrieval (CLIR) which relies on the induction of dense real-valued word vectors known as word embeddings (WE) from comparable data. |
Ivan Vulić; Marie-Francine Moens; |
| 2015 | 8 | Word Embedding Based Generalized Language Model For Information Retrieval IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we focus on using the word embeddings for enhancing retrieval effectiveness. |
Debasis Ganguly; Dwaipayan Roy; Mandar Mitra; Gareth J.F. Jones; |
| 2015 | 9 | Learning To Reweight Terms With Distributed Representations IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose to address query interpretation and term weighting in a unified framework built upon distributed representations of words from recent advances in neural network language modeling. |
Guoqing Zheng; Jamie Callan; |
| 2015 | 10 | Context- And Content-aware Embeddings For Query Rewriting In Sponsored Search IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose rewriting method based on a novel query embedding algorithm, which jointly models query content as well as its context within a search session. |
Mihajlo Grbovic; Nemanja Djuric; Vladan Radosavljevic; Fabrizio Silvestri; Narayan Bhamidipati; |
| 2015 | 11 | Context-aware Point-of-Interest Recommendation Using Tensor Factorization With Social Regularization IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address this new challenge, we propose a Collaborative Filtering method based on Non-negative Tensor Factorization, a generalization of the Matrix Factorization approach that exploits a high-order tensor instead of traditional User-Location matrix to model multi-dimensional contextual information. |
LINA YAO et. al. |
| 2015 | 12 | Multiple Social Network Learning And Its Application In Volunteerism Tendency Prediction IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We are living in the era of social networks, where people throughout the world are connected and organized by multiple social networks. The views revealed by different social … |
Xuemeng Song; Liqiang Nie; Luming Zhang; Mohammad Akbari; Tat-Seng Chua; |
| 2015 | 13 | Information Retrieval With Verbose Queries IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this tutorial, we aim to put together various research pieces of the puzzle, provide a comprehensive and structured overview of various proposed methods, and also list various application scenarios where effective verbose query processing can make a significant difference. |
Manish Gupta; Michael Bendersky; |
| 2015 | 14 | Personalized Recommendation Via Parameter-Free Contextual Bandits IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we formulate personalized recommendation as a contextual bandit problem to solve the exploration/exploitation dilemma. |
Liang Tang; Yexi Jiang; Lei Li; Chunqiu Zeng; Tao Li; |
| 2015 | 15 | Uncovering Crowdsourced Manipulation Of Online Reviews IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: (ii) Second, we augment this base set of deceptive reviewers through a reviewer-reviewer graph clustering approach based on a Markov Random Field where we define individual potentials (of single reviewers) and pair potentials (between two reviewers). |
Amir Fayazi; Kyumin Lee; James Caverlee; Anna Squicciarini; |
| 2014 | 1 | Explicit Factor Models For Explainable Recommendation Based On Phrase-level Sentiment Analysis IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose the Explicit Factor Model (EFM) to generate explainable recommendations, meanwhile keep a high prediction accuracy. |
YONGFENG ZHANG et. al. |
| 2014 | 2 | Latent Semantic Sparse Hashing For Cross-modal Similarity Search IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address these challenges, in this paper, we propose a novel Latent Semantic Sparse Hashing (LSSH) to perform cross-modal similarity search by employing Sparse Coding and Matrix Factorization. |
Jile Zhou; Guiguang Ding; Yuchen Guo; |
| 2014 | 3 | Entity Query Feature Expansion Using Knowledge Base Links IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new technique, called entity query feature expansion (EQFE) which enriches the query with features from entities and their links to knowledge bases, including structured attributes and text. |
Jeffrey Dalton; Laura Dietz; James Allan; |
| 2014 | 4 | Supervised Hashing With Latent Factor Models IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel supervised hashing method, called latent factor hashing(LFH), to learn similarity-preserving binary codes based on latent factor models. |
Peichao Zhang; Wei Zhang; Wu-Jun Li; Minyi Guo; |
| 2014 | 5 | Addressing Cold Start In Recommender Systems: A Semi-supervised Co-training Algorithm IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we tackle the cold-start problem by proposing a context-aware semi-supervised co-training method named CSEL. |
Mi Zhang; Jie Tang; Xuchen Zhang; Xiangyang Xue; |
| 2014 | 6 | Your Neighbors Affect Your Ratings: On Geographical Neighborhood Influence To Rating Prediction IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Using the business review data from Yelp, in this paper, we study business rating prediction. |
Longke Hu; Aixin Sun; Yong Liu; |
| 2014 | 7 | Evaluation Of Machine-learning Protocols For Technology-assisted Review In Electronic Discovery IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Abstract Using a novel evaluation toolkit that simulates a human reviewer in the loop, we compare the effectiveness of three machine-learning protocols for technology-assisted review as used in document review for discovery in legal proceedings. |
Gordon V. Cormack; Maura R. Grossman; |
| 2014 | 8 | Discriminative Coupled Dictionary Hashing For Fast Cross-media Retrieval IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a discriminative coupled dictionary hashing (DCDH) method in this paper. |
ZHOU YU et. al. |
| 2014 | 9 | Towards Better Measurement Of Attention And Satisfaction In Mobile Search IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we studied whether tracking the browser viewport (visible portion of a web page) on mobile phones could enable accurate measurement of user attention at scale, and provide good measurement of search satisfaction in the absence of clicks. |
Dmitry Lagun; Chih-Hung Hsieh; Dale Webster; Vidhya Navalpakkam; |
| 2014 | 10 | Impact Of Response Latency On User Behavior In Web Search IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In order to fill this gap, we conduct two separate studies aiming to reveal how response latency affects the user behavior in web search. |
Ioannis Arapakis; Xiao Bai; B. Barla Cambazoglu; |
| 2014 | 11 | Partitioned Elias-Fano Indexes IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we describe a new representation based on partitioning the list into chunks and encoding both the chunks and their endpoints with Elias-Fano, hence forming a two-level data structure. |
Giuseppe Ottaviano; Rossano Venturini; |
| 2014 | 12 | ERD’14: Entity Recognition And Disambiguation Challenge IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
David Carmel; Ming-Wei Chang; Evgeniy Gabrilovich; Bo-June (Paul) Hsu; Kuansan Wang; |
| 2014 | 13 | IMRank: Influence Maximization Via Finding Self-consistent Ranking IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Early methods mainly fall into two paradigms with certain benefits and drawbacks: (1) Greedy algorithms, selecting seed nodes one by one, give a guaranteed accuracy relying on the accurate approximation of influence spread with high computational cost; (2) Heuristic algorithms, estimating influence spread using efficient heuristics, have low computational cost but unstable accuracy. |
Suqi Cheng; Huawei Shen; Junming Huang; Wei Chen; Xueqi Cheng; |
| 2014 | 14 | Searching, Browsing, And Clicking In A Search Session: Changes In User Behavior By Task And Over Time IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we characterize and compare user behavior in relatively long search sessions (10 minutes; about 5 queries) for search tasks of four different types. |
Jiepu Jiang; Daqing He; James Allan; |
| 2014 | 15 | Fine-grained Location Extraction From Tweets With Temporal Awareness IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we are interested in extracting fine-grained locations mentioned in tweets with temporal awareness. |
Chenliang Li; Aixin Sun; |
| 2013 | 1 | Time-aware Point-of-interest Recommendation IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we define a new problem, namely, the time-aware POI recommendation, to recommend POIs for a given user at a specified time in a day. |
Quan Yuan; Gao Cong; Zongyang Ma; Aixin Sun; Nadia Magnenat- Thalmann; |
| 2013 | 2 | Improving LDA Topic Models For Microblogs Via Tweet Pooling And Automatic Labeling IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we investigate methods to improve topics learned from Twitter content without modifying the basic machinery of LDA; we achieve this through various pooling schemes that aggregate tweets in a data preprocessing step for LDA. |
Rishabh Mehrotra; Scott Sanner; Wray Buntine; Lexing Xie; |
| 2013 | 3 | Optimizing Top-n Collaborative Filtering Via Dynamic Negative Item Sampling IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose to dynamically choose negative training samples from the ranked list produced by the current prediction model and iteratively update our model. |
Weinan Zhang; Tianqi Chen; Jun Wang; Yong Yu; |
| 2013 | 4 | Addressing Cold-start In App Recommendation: Latent User Models Constructed From Twitter Followers IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we describe a method that accounts for nascent information culled from Twitter to provide relevant recommendation in such cold-start situations. |
Jovian Lin; Kazunari Sugiyama; Min-Yen Kan; Tat-Seng Chua; |
| 2013 | 5 | Learning To Personalize Query Auto-completion IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a supervised framework for personalizing auto-completion ranking. |
Milad Shokouhi; |
| 2013 | 6 | A Novel TF-IDF Weighting Scheme For Effective Ranking IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This article proposes a novel TF-IDF term weighting scheme that employs two different within document term frequency normalizations to capture two different aspects of term saliency. |
Jiaul H. Paik; |
| 2013 | 7 | An Experimental Study On Implicit Social Recommendation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we study the following two research problems: (1) In some systems without explicit social information, can we still improve recommender systems using implicit social information? |
Hao Ma; |
| 2013 | 8 | Beliefs And Biases In Web Search IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we study search-related biases via multiple probes: an exploratory retrospective survey, human labeling of the captions and results returned by a Web search engine, and a large-scale log analysis of search behavior on that engine. |
Ryen White; |
| 2013 | 9 | Opportunity Model For E-commerce Recommendation: Right Product; Right Time IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We adapt the proportional hazards modeling approach in survival analysis to the recommendation research field and propose a new opportunity model to explicitly incorporate time in an e-commerce recommender system. |
Jian Wang; Yi Zhang; |
| 2013 | 10 | Sumblr: Continuous Summarization Of Evolving Tweet Streams IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we study continuous tweet summarization as a solution to address this problem. |
Lidan Shou; Zhenhua Wang; Ke Chen; Gang Chen; |
| 2013 | 11 | Emerging Topic Detection For Organizations From Microblogs IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Microblog services have emerged as an essential way to strengthen the communications among individuals and organizations. These services promote timely and active discussions and … |
Yan Chen; Hadi Amiri; Zhoujun Li; Tat-Seng Chua; |
| 2013 | 12 | A General Evaluation Measure For Document Organization Tasks IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we propose two complementary evaluation measures — Reliability and Sensitivity — for the generic Document Organization task which are derived from a proposed set of formal constraints (properties that any suitable measure must satisfy). |
Enrique Amigó; Julio Gonzalo; Felisa Verdejo; |
| 2013 | 13 | Modeling Term Dependencies With Quantum Language Models For IR IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recently, Quantum Theory (QT) has been proposed as a possible, more general framework for IR. |
Alessandro Sordoni; Jian-Yun Nie; Yoshua Bengio; |
| 2013 | 14 | How Do Users Respond To Voice Input Errors?: Lexical And Phonetic Query Reformulation In Voice Search IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We conducted user experiments with native English speakers on their query reformulation behaviors in voice search and found that users often reformulate queries with both lexical and phonetic changes to previous queries. |
Jiepu Jiang; Wei Jeng; Daqing He; |
| 2013 | 15 | Who Will Retweet Me?: Finding Retweeters In Twitter IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Within a learning to-rank framework, we explore a wide range of features, such as retweet history, followers status, followers active time and followers interests. |
Zhunchen Luo; Miles Osborne; Jintao Tang; Ting Wang; |
| 2012 | 1 | Modeling The Impact Of Short- And Long-term Behavior On Search Personalization IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Previous studies have explored how short-term behavior or long-term behavior can be predictive of relevance. |
PAUL N. BENNETT et. al. |
| 2012 | 2 | Exploring Social Influence For Recommendation: A Generative Model Approach IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we argue that social influence between friends can be captured quantitatively and propose a probabilistic generative model, called social influenced selection(SIS), to model the decision making of item selection (e.g., what book to buy or where to dine). |
Mao Ye; Xingjie Liu; Wang-Chien Lee; |
| 2012 | 3 | Collaborative Personalized Tweet Recommendation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we focus on recommending useful tweets that users are really interested in personally to reduce the users’ effort to find useful information. |
KAILONG CHEN et. al. |
| 2012 | 4 | TwiNER: Named Entity Recognition In Targeted Twitter Stream IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel 2-step unsupervised NER system for targeted Twitter stream, called TwiNER. |
CHENLIANG LI et. al. |
| 2012 | 5 | Quality Through Flow And Immersion: Gamifying Crowdsourced Relevance Assessments IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Based on previous experience as well as psychological insights, we propose the use of a game in order to attract and retain a larger share of reliable workers to frequently-requested crowdsourcing tasks such as relevance assessments and clustering. |
Carsten Eickhoff; Christopher G. Harris; Arjen P. de Vries; Padmini Srinivasan; |
| 2012 | 6 | TFMAP: Optimizing MAP For Top-n Context-aware Recommendation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. |
YUE SHI et. al. |
| 2012 | 7 | Cognos: Crowdsourcing Search For Topic Experts In Microblogs IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose and investigate a new methodology for discovering topic experts in the popular Twitter social network. |
Saptarshi Ghosh; Naveen Sharma; Fabricio Benevenuto; Niloy Ganguly; Krishna Gummadi; |
| 2012 | 8 | Time-based Calibration Of Effectiveness Measures IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a time-biased gain measure, which explicitly accommodates such aspects of the search process. |
Mark D. Smucker; Charles L.A. Clarke; |
| 2012 | 9 | Diversity By Proportionality: An Election-based Approach To Search Result Diversification IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a different perspective on diversity in search results: diversity by proportionality. |
Van Dang; W. Bruce Croft; |
| 2012 | 10 | Time-sensitive Query Auto-completion IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a time-sensitive approach for query auto-completion. |
Milad Shokouhi; Kira Radinsky; |
| 2012 | 11 | A Study Of Term Weighting Schemes Using Class Information For Text Classification IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Youngjoong Ko; |
| 2012 | 12 | Privacy-aware Image Classification And Search IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In order to support users in making privacy decisions in the context of image sharing and to provide them with a better overview on privacy related visual content available on the Web, we propose techniques to automatically detect private images, and to enable privacy-oriented image search. |
Sergej Zerr; Stefan Siersdorfer; Jonathon Hare; Elena Demidova; |
| 2012 | 13 | Modeling User Posting Behavior On Social Media IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we perform a comprehensive analysis of user posting behavior on a popular social media website, Twitter. |
Zhiheng Xu; Yang Zhang; Yao Wu; Qing Yang; |
| 2012 | 14 | Social-network Analysis Using Topic Models IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we discuss how we can extend probabilistic topic models to analyze the relationship graph of popular social-network data, so that we can group or label the edges and nodes in the graph based on their topic similarity. |
Youngchul Cha; Junghoo Cho; |
| 2012 | 15 | Friend Or Frenemy?: Predicting Signed Ties In Social Networks IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We study the problem of labeling the edges of a social network graph (e.g., acquaintance connections in Facebook) as either positive (i.e., trust, true friendship) or negative (i.e., distrust, possible frenemy) relations. |
Shuang-Hong Yang; Alexander J. Smola; Bo Long; Hongyuan Zha; Yi Chang; |
| 2011 | 1 | Exploiting Geographical Influence For Collaborative Point-of-interest Recommendation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we aim to provide a point-of-interests (POI) recommendation service for the rapid growing location-based social networks (LBSNs), e.g., Foursquare, Whrrl, etc. |
Mao Ye; Peifeng Yin; Wang-Chien Lee; Dik-Lun Lee; |
| 2011 | 2 | Fast Context-aware Recommendations With Factorization Machines IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose to apply Factorization Machines (FMs) to model contextual information and to provide context-aware rating predictions. |
Steffen Rendle; Zeno Gantner; Christoph Freudenthaler; Lars Schmidt-Thieme; |
| 2011 | 3 | Collective Entity Linking In Web Text: A Graph-based Method IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a graph-based collective EL method, which can model and exploit the global interdependence between different EL decisions. |
Xianpei Han; Le Sun; Jun Zhao; |
| 2011 | 4 | Functional Matrix Factorizations For Cold-start Recommendation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present functional matrix factorization (fMF), a novel cold-start recommendation method that solves the problem of initial interview construction within the context of learning user and item profiles. |
Ke Zhou; Shuang-Hong Yang; Hongyuan Zha; |
| 2011 | 5 | SCENE: A Scalable Two-stage Personalized News Recommendation System IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a scalable two-stage personalized news recommendation approach with a two-level representation, which considers the exclusive characteristics (e.g., news content, access patterns, named entities, popularity and recency) of news items when performing recommendation. |
Lei Li; Dingding Wang; Tao Li; Daniel Knox; Balaji Padmanabhan; |
| 2011 | 6 | A Cascade Ranking Model For Efficient Ranked Retrieval IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel boosting algorithm for learning such cascades to directly optimize the tradeoff between effectiveness and efficiency. |
Lidan Wang; Jimmy Lin; Donald Metzler; |
| 2011 | 7 | Faster Top-k Document Retrieval Using Block-max Indexes IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new set of algorithms by introducing a simple augmented inverted index structure called a block-max index. |
Shuai Ding; Torsten Suel; |
| 2011 | 8 | Composite Hashing With Multiple Information Sources IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the problem of learning good hashing codes in this scenario, we propose a novel research problem — Composite Hashing with Multiple Information Sources (CHMIS). |
Dan Zhang; Fei Wang; Luo Si; |
| 2011 | 9 | ILDA: Interdependent LDA Model For Learning Latent Aspects And Their Ratings From Online Product Reviews IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we present three probabilistic graphical models which aim to extract aspects and corresponding ratings of products from online reviews. |
Samaneh Moghaddam; Martin Ester; |
| 2011 | 10 | Bagging Gradient-boosted Trees For High Precision, Low Variance Ranking Models IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we show how the combination of bagging as a variance reduction technique and boosting as a bias reduction technique can result in very high precision and low variance ranking models. |
Yasser Ganjisaffar; Rich Caruana; Cristina Videira Lopes; |
| 2011 | 11 | Evolutionary Timeline Summarization: A Balanced Optimization Framework Via Iterative Substitution IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Therefore, we present a novel framework for the web mining problem named Evolutionary Timeline Summarization (ETS). |
RUI YAN et. al. |
| 2011 | 12 | Query Suggestions In The Absence Of Query Logs IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a probabilistic mechanism for generating query suggestions from the corpus without using query logs. |
Sumit Bhatia; Debapriyo Majumdar; Prasenjit Mitra; |
| 2011 | 13 | Modeling And Analysis Of Cross-session Search Tasks IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose methods for modeling and analyzing user search behavior that extends over multiple search sessions. |
Alexander Kotov; Paul N. Bennett; Ryen W. White; Susan T. Dumais; Jaime Teevan; |
| 2011 | 14 | Evaluating Diversified Search Results Using Per-intent Graded Relevance IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We compare the properties of existing metrics given the premises that (1) queries may have multiple intents; (2) the likelihood of each intent given a query is available; and (3) graded relevance assessments are available for each intent. |
Tetsuya Sakai; Ruihua Song; |
| 2011 | 15 | Who Should Share What?: Item-level Social Influence Prediction For Users And Posts Ranking IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we focus on predicting item-level social influence to answer the question Who should share What, which can be extended into two information retrieval scenarios: (1) Users ranking: given an item, who should share it so that its diffusion range can be maximized in a social network; (2) Web posts ranking: given a user, what should she share to maximize her influence among her friends. |
PENG CUI et. al. |
| 2010 | 1 | Learning To Rank For Information Retrieval IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In the first part of the tutorial, we will introduce three major approaches to learning to rank, i.e., the pointwise, pairwise, and listwise approaches, analyze the relationship between the loss functions used in these approaches and the widely-used IR evaluation measures, evaluate the performance of these approaches on the LETOR benchmark datasets, and demonstrate how to use these approaches to solve real ranking applications. |
Tie-Yan Liu; |
| 2010 | 2 | Short Text Classification In Twitter To Improve Information Filtering IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address this problem, we propose to use a small set of domain-specific features extracted from the author’s profile and text. |
Bharath Sriram; Dave Fuhry; Engin Demir; Hakan Ferhatosmanoglu; Murat Demirbas; |
| 2010 | 3 | Uncovering Social Spammers: Social Honeypots + Machine Learning IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe the conceptual framework and design considerations of the proposed approach, and we present concrete observations from the deployment of social honeypots in MySpace and Twitter. |
Kyumin Lee; James Caverlee; Steve Webb; |
| 2010 | 4 | Self-taught Hashing For Fast Similarity Search IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A promising way to accelerate similarity search is semantic hashing which designs compact binary codes for a large number of documents so that semantically similar documents are mapped to similar codes (within a short Hamming distance). |
Dell Zhang; Jun Wang; Deng Cai; Jinsong Lu; |
| 2010 | 5 | Evaluating And Predicting Answer Quality In Community QA IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a study to evaluate and predict the quality of an answer in a CQA setting. |
Chirag Shah; Jefferey Pomerantz; |
| 2010 | 6 | Social Media Recommendation Based On People And Tags IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We study personalized item recommendation within an enterprise social media application suite that includes blogs, bookmarks, communities, wikis, and shared files. |
Ido Guy; Naama Zwerdling; Inbal Ronen; David Carmel; Erel Uziel; |
| 2010 | 7 | Temporal Diversity In Recommender Systems IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we show that temporal diversity is an important facet of recommender systems, by showing how CF data changes over time and performing a user survey. |
Neal Lathia; Stephen Hailes; Licia Capra; Xavier Amatriain; |
| 2010 | 8 | Understanding Web Browsing Behaviors Through Weibull Analysis Of Dwell Time IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we draw an analogy between abandoning a page during Web browsing and a system failure in reliability analysis, and propose to model the dwell time using the Weibull distribution. |
Chao Liu; Ryen W. White; Susan Dumais; |
| 2010 | 9 | Estimating The Query Difficulty For Information Retrieval IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The goal of this tutorial is to expose participants to the current research on query performance prediction (also known as query difficulty estimation). |
David Carmel; Elad Yom-Tov; |
| 2010 | 10 | Positional Relevance Model For Pseudo-relevance Feedback IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we study how to effectively select from feedback documents those words that are focused on the query topic based on positions of terms in feedback documents. |
Yuanhua Lv; ChengXiang Zhai; |
| 2010 | 11 | Context-aware Ranking In Web Search IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we tackle the above two essential problems analytically and empirically. |
BIAO XIANG et. al. |
| 2010 | 12 | Hashtag Retrieval In A Microblogging Environment IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This poster proposes a language modeling approach to hashtag retrieval. |
Miles Efron; |
| 2010 | 13 | Predicting Searcher Frustration IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present several models to predict frustration using features extracted from query logs and physical sensors. |
Henry A. Feild; James Allan; Rosie Jones; |
| 2010 | 14 | The Good, The Bad, And The Random: An Eye-tracking Study Of Ad Quality In Web Search IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We investigate how people interact with Web search engine result pages using eye-tracking. |
Georg Buscher; Susan T. Dumais; Edward Cutrell; |
| 2010 | 15 | Do User Preferences And Evaluation Measures Line Up? IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents results comparing user preference for search engine rankings with measures of effectiveness computed from a test collection. |
Mark Sanderson; Monica Lestari Paramita; Paul Clough; Evangelos Kanoulas; |
| 2009 | 1 | Learning To Recommend With Social Trust Ensemble IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Aiming at modeling recommender systems more accurately and realistically, we propose a novel probabilistic factor analysis framework, which naturally fuses the users’ tastes and their trusted friends’ favors together. |
Hao Ma; Irwin King; Michael R. Lyu; |
| 2009 | 2 | On Social Networks And Collaborative Recommendation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we collected a representative enough portion of the music social network last.fm, capturing explicitly expressed bonds of friendship of the user as well as social tags. |
Ioannis Konstas; Vassilios Stathopoulos; Joemon M. Jose; |
| 2009 | 3 | Reciprocal Rank Fusion Outperforms Condorcet And Individual Rank Learning Methods IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Reciprocal Rank Fusion (RRF), a simple method for combining the document rankings from multiple IR systems, consistently yields better results than any individual system, and … |
Gordon V. Cormack; Charles L A Clarke; Stefan Buettcher; |
| 2009 | 4 | Named Entity Recognition In Query IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The paper proposes taking a probabilistic approach to the task using query log data and Latent Dirichlet Allocation. |
Jiafeng Guo; Gu Xu; Xueqi Cheng; Hang Li; |
| 2009 | 5 | Placing Flickr Photos On A Map IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we investigate generic methods for placing photos uploaded to Flickr on the World map. |
Pavel Serdyukov; Vanessa Murdock; Roelof van Zwol; |
| 2009 | 6 | Portfolio Theory Of Information Retrieval IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Through the analysis of the mean and variance, we show that an optimal rank order is the one that balancing the overall relevance (mean) of the ranked list against its risk level (variance). |
Jun Wang; Jianhan Zhu; |
| 2009 | 7 | A Syntactic Tree Matching Approach To Finding Similar Questions In Community-based Qa Services IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new retrieval framework based on syntactic tree structure to tackle the similar question matching problem. We build a ground-truth set from Yahoo! Answers, and experimental results show that our method outperforms traditional bag-of-word or tree kernel based methods by 8.3% in mean average precision. |
Kai Wang; Zhaoyan Ming; Tat-Seng Chua; |
| 2009 | 8 | Positional Language Models For Information Retrieval IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel positional language model (PLM) which implements both heuristics in a unified language model. |
Yuanhua Lv; ChengXiang Zhai; |
| 2009 | 9 | Detecting Spammers And Content Promoters In Online Video Social Networks IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we go a step further by addressing the issue of detecting video spammers and promoters. |
Fabrício Benevenuto; Tiago Rodrigues; Virgílio Almeida; Jussara Almeida; Marcos Gonçalves; |
| 2009 | 10 | Predicting User Interests From Contextual Information IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a systematic study of the effectiveness of five variant sources of contextual information for user interest modeling. |
Ryen W. White; Peter Bailey; Liwei Chen; |
| 2009 | 11 | Query Dependent Pseudo-relevance Feedback Based On Wikipedia IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose and study the effectiveness of three methods for expansion term selection, each modeling the Wikipedia based pseudo-relevance information from a different perspective. |
Yang Xu; Gareth J.F. Jones; Bin Wang; |
| 2009 | 12 | Sources Of Evidence For Vertical Selection IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: An in-depth error analysis reveals unique challenges across different verticals and provides insight into vertical selection for future work. |
Jaime Arguello; Fernando Diaz; Jamie Callan; Jean-Francois Crespo; |
| 2009 | 13 | Reducing Long Queries Using Query Quality Predictors IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present techniques to reduce long queries to more effective shorter ones that lack those extraneous terms. |
Giridhar Kumaran; Vitor R. Carvalho; |
| 2009 | 14 | Context-aware Query Classification IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we incorporate context information into the problem of query classification by using conditional random field (CRF) models. |
HUANHUAN CAO et. al. |
| 2009 | 15 | Has Adhoc Retrieval Improved Since 1994? IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we report experiments to determine whether this goal has been achieved. |
Timothy G. Armstrong; Alistair Moffat; William Webber; Justin Zobel; |
| 2008 | 1 | Novelty And Diversity In Information Retrieval Evaluation IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a framework for evaluation that systematically rewards novelty and diversity. |
CHARLES L.A. CLARKE et. al. |
| 2008 | 2 | A User Browsing Model To Predict Search Engine Click Data From Past Observations IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a set of assumptions on user browsing behavior that allows the estimation of the probability that a document is seen, thereby providing an unbiased estimate of document relevance. |
Georges E. Dupret; Benjamin Piwowarski; |
| 2008 | 3 | Selecting Good Expansion Terms For Pseudo-relevance Feedback IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Pseudo-relevance feedback assumes that most frequent terms in the pseudo-feedback documents are useful for the retrieval. |
Guihong Cao; Jian-Yun Nie; Jianfeng Gao; Stephen Robertson; |
| 2008 | 4 | Learning Query Intent From Regularized Click Graphs IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we investigate a completely orthogonal approach — instead of enriching feature representation, we aim at drastically increasing the amounts of training data by semi-supervised learning with click graphs. |
Xiao Li; Ye-Yi Wang; Alex Acero; |
| 2008 | 5 | Retrieval Models For Question And Answer Archives IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a retrieval model that combines a translation-based language model for the question part with a query likelihood approach for the answer part. |
Xiaobing Xue; Jiwoon Jeon; W. Bruce Croft; |
| 2008 | 6 | Social Tag Prediction IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we look at the "social tag prediction" problem. |
Paul Heymann; Daniel Ramage; Hector Garcia-Molina; |
| 2008 | 7 | Multi-document Summarization Via Sentence-level Semantic Analysis And Symmetric Matrix Factorization IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new multi-document summarization framework based on sentence-level semantic analysis and symmetric non-negative matrix factorization. |
Dingding Wang; Tao Li; Shenghuo Zhu; Chris Ding; |
| 2008 | 8 | To Personalize Or Not To Personalize: Modeling Queries With Variation In User Intent IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Using these features we build predictive models to identify queries that can benefit from personalization. |
Jaime Teevan; Susan T. Dumais; Daniel J. Liebling; |
| 2008 | 9 | Multi-document Summarization Using Cluster-based Link Analysis IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes the Cluster-based Conditional Markov Random Walk Model (ClusterCMRW) and the Cluster-based HITS Model (ClusterHITS) to fully leverage the cluster-level information. |
Xiaojun Wan; Jianwu Yang; |
| 2008 | 10 | Exploring Folksonomy For Personalized Search IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a personalized search framework to utilize folksonomy for personalized search. |
Shengliang Xu; Shenghua Bao; Ben Fei; Zhong Su; Yong Yu; |
| 2008 | 11 | A Simple And Efficient Sampling Method For Estimating AP And NDCG IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The contribution of this paper is threefold: (1) we derive confidence intervals for infAP, (2) we extend infAP to incorporate nonrandom relevance judgments by employing stratified random sampling, hence combining the efficiency of stratification with the simplicity of random sampling, (3) we describe how this approach can be utilized to estimate nDCG from incomplete judgments. |
Emine Yilmaz; Evangelos Kanoulas; Javed A. Aslam; |
| 2008 | 12 | EigenRank: A Ranking-oriented Approach To Collaborative Filtering IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a collaborative filtering approach that addresses the item ranking problem directly by modeling user preferences derived from the ratings. |
Nathan N. Liu; Qiang Yang; |
| 2008 | 13 | Real-time Automatic Tag Recommendation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a highly-automated novel framework for real-time tag recommendation. |
YANG SONG et. al. |
| 2008 | 14 | Discovering Key Concepts In Verbose Queries IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we develop and evaluate a technique that uses query-dependent, corpus-dependent, and corpus-independent features for automatic extraction of key concepts from verbose queries. |
Michael Bendersky; W. Bruce Croft; |
| 2008 | 15 | Learning From Labeled Features Using Generalized Expectation Criteria IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we provide a solution to this problem that leverages domain knowledge in the form of affinities between input features and classes. |
Gregory Druck; Gideon Mann; Andrew McCallum; |
| 2007 | 1 | AdaRank: A Boosting Algorithm For Information Retrieval IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we address the issue of learning to rank for document retrieval. |
Jun Xu; Hang Li; |
| 2007 | 2 | A Support Vector Method For Optimizing Average Precision IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In contrast, we present a general SVM learning algorithm that efficiently finds a globally optimal solution to a straightforward relaxation of MAP. |
Yisong Yue; Thomas Finley; Filip Radlinski; Thorsten Joachims; |
| 2007 | 3 | Random Walks On The Click Graph IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We apply a Markov random walk model to a large click log, producing a probabilistic ranking of documents for a given query. |
Nick Craswell; Martin Szummer; |
| 2007 | 4 | Towards Automatic Extraction Of Event And Place Semantics From Flickr Tags IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe an approach for extracting semantics of tags, unstructured text-labels assigned to resources on the Web, based on each tag’s usage patterns. |
Tye Rattenbury; Nathaniel Good; Mor Naaman; |
| 2007 | 5 | Effective Missing Data Prediction For Collaborative Filtering IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this algorithm, we set the similarity threshold for users and items respectively, and the prediction algorithm will determine whether predicting the missing data or not. |
Hao Ma; Irwin King; Michael R. Lyu; |
| 2007 | 6 | Know Your Neighbors: Web Spam Detection Using The Web Topology IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we present a spam detection system that combines link-based and content-based features, and uses the topology of the Web graph by exploiting the link dependencies among the Web pages. |
Carlos Castillo; Debora Donato; Aristides Gionis; Vanessa Murdock; Fabrizio Silvestri; |
| 2007 | 7 | A Semantic Approach To Contextual Advertising IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To overcome this problem, we propose a system for contextual ad matching based on a combination of semantic and syntactic features. |
Andrei Broder; Marcus Fontoura; Vanja Josifovski; Lance Riedel; |
| 2007 | 8 | Information Re-retrieval: Repeat Queries In Yahoo’s Logs IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper explores repeat search behavior through the analysis of a one-year Web query log of 114 anonymous users and a separate controlled survey of an additional 119 volunteers. |
Jaime Teevan; Eytan Adar; Rosie Jones; Michael A. S. Potts; |
| 2007 | 9 | Clustering Short Texts Using Wikipedia IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a method of improving the accuracy of clustering short texts by enriching their representation with additional features from Wikipedia. |
Somnath Banerjee; Krishnan Ramanathan; Ajay Gupta; |
| 2007 | 10 | Personalized Query Expansion For The Web IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we propose to improve such Web queries by expanding them with terms collected from each user’s Personal Information Repository, thus implicitly personalizing the search output. |
Paul – Alexandru Chirita; Claudiu S. Firan; Wolfgang Nejdl; |
| 2007 | 11 | ARSA: A Sentiment-aware Model For Predicting Sales Performance Using Blogs IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we study the problem of mining sentiment information from blogs and investigate ways to use such information for predicting product sales performance. |
Yang Liu; Xiangji Huang; Aijun An; Xiaohui Yu; |
| 2007 | 12 | Combining Content And Link For Classification Using Matrix Factorization IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Being practically attractive for its great simplicity, this paper aims to design an algorithm that exploits both the content and linkage information, by carrying out a joint factorization on both the linkage adjacency matrix and the document-term matrix, and derives a new representation for web pages in a low-dimensional factor space, without explicitly separating them as content, hub or authority factors. |
Shenghuo Zhu; Kai Yu; Yun Chi; Yihong Gong; |
| 2007 | 13 | Feature Selection For Ranking IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose a new feature selection method in this paper. |
Xiubo Geng; Tie-Yan Liu; Tao Qin; Hang Li; |
| 2007 | 14 | Query Performance Prediction In Web Search Environments IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present three techniques to address these challenges. |
Yun Zhou; W. Bruce Croft; |
| 2007 | 15 | Learn From Web Search Logs To Organize Search Results IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose to address these two deficiencies by (1) learning "interesting aspects" of a topic from Web search logs and organizing search results accordingly; and (2) generating more meaningful cluster labels using past query words entered by users. |
Xuanhui Wang; ChengXiang Zhai; |
| 2006 | 1 | LDA-based Document Models For Ad-hoc Retrieval IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we study how to efficiently use LDA to improve ad-hoc retrieval. |
Xing Wei; W. Bruce Croft; |
| 2006 | 2 | Unifying User-based And Item-based Collaborative Filtering Approaches By Similarity Fusion IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Experiments demonstrate that the proposed methods are indeed more robust against data sparsity and give better recommendations. |
Jun Wang; Arjen P. de Vries; Marcel J. T. Reinders; |
| 2006 | 3 | Adapting Ranking SVM To Document Retrieval IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We employ two methods to conduct optimization on the loss function: gradient descent and quadratic programming. |
YUNBO CAO et. al. |
| 2006 | 4 | Formal Models For Expert Finding In Enterprise Corpora IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present two general strategies to expert searching given a document collection which are formalized using generative probabilistic models. |
Krisztian Balog; Leif Azzopardi; Maarten de Rijke; |
| 2006 | 5 | Improving Web Search Ranking By Incorporating User Behavior Information IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We show that incorporating user behavior data can significantly improve ordering of top results in real web search setting. |
Eugene Agichtein; Eric Brill; Susan Dumais; |
| 2006 | 6 | Learning User Interaction Models For Predicting Web Search Result Preferences IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our key insight to improving robustness of interpreting implicit feedback is to model query-dependent deviations from the expected "noisy" user behavior. |
Eugene Agichtein; Eric Brill; Susan Dumais; Robert Ragno; |
| 2006 | 7 | Finding Near-duplicate Web Pages: A Large-scale Evaluation Of Algorithms IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a combined algorithm which achieves precision 0.79 with 79% of the recall of the other algorithms. |
Monika Henzinger; |
| 2006 | 8 | Identifying Comparative Sentences In Text Documents IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes to study the comparative sentence identification problem. |
Nitin Jindal; Bing Liu; |
| 2006 | 9 | User Performance Versus Precision Measures For Simple Search Tasks IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we evaluate two different information retrieval tasks on TREC Web-track data: a precision-based user task, measured by the length of time that users need to find a single document that is relevant to a TREC topic; and, a simple recall-based task, represented by the total number of relevant documents that users can identify within five minutes. |
Andrew Turpin; Falk Scholer; |
| 2006 | 10 | A Framework To Predict The Quality Of Answers With Non-textual Features IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a framework to use non-textual features to predict the quality of documents. |
Jiwoon Jeon; W. Bruce Croft; Joon Ho Lee; Soyeon Park; |
| 2006 | 11 | Less Is More: Probabilistic Models For Retrieving Fewer Relevant Documents IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We show that in such a scenario, an attempt to return many relevant documents can actually reduce the chances of finding any relevant documents. |
Harr Chen; David R. Karger; |
| 2006 | 12 | Building Bridges For Web Query Classification IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel approach for QC that outperforms the winning solution of the ACM KDDCUP 2005 competition, whose objective is to classify 800,000 real user queries. |
Dou Shen; Jian-Tao Sun; Qiang Yang; Zheng Chen; |
| 2006 | 13 | Improving Personalized Web Search Using Result Diversification IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose three methods to increase the diversity of the top results and evaluate the effectiveness of these methods. |
Filip Radlinski; Susan Dumais; |
| 2006 | 14 | Building A Test Collection For Complex Document Information Processing IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As part of a project to create a prototype system for search and mining of masses of document images, we are assembling a 1.5 terabyte dataset to support evaluation of both end-to-end complex document information processing (CDIP) tasks (e.g., text retrieval and data mining) as well as component technologies such as optical character recognition (OCR), document structure analysis, signature matching, and authorship attribution. |
D. LEWIS et. al. |
| 2006 | 15 | Large Scale Semi-supervised Linear SVMs IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a family of semi-supervised linear support vector classifiers that are designed to handle partially-labeled sparse datasets with possibly very large number of examples and features. |
Vikas Sindhwani; S. Sathiya Keerthi; |
| 2005 | 1 | Accurately Interpreting Clickthrough Data As Implicit Feedback IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper examines the reliability of implicit feedback generated from clickthrough data in WWW search. |
Thorsten Joachims; Laura Granka; Bing Pan; Helene Hembrooke; Geri Gay; |
| 2005 | 2 | A Markov Random Field Model For Term Dependencies IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper develops a general, formal framework for modeling term dependencies via Markov random fields. |
Donald Metzler; W. Bruce Croft; |
| 2005 | 3 | Personalizing Search Via Automated Analysis Of Interests And Activities IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We formulate and study search algorithms that consider a user’s prior interactions with a wide variety of content to personalize that user’s current Web search. |
Jaime Teevan; Susan T. Dumais; Eric Horvitz; |
| 2005 | 4 | Scalable Collaborative Filtering Using Cluster-based Smoothing IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel approach that combines the advantages of these two approaches by introducing a smoothing-based method. |
GUI-RONG XUE et. al. |
| 2005 | 5 | Context-sensitive Information Retrieval Using Implicit Feedback IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we study how to exploit implicit feedback information, including previous queries and clickthrough information, to improve retrieval accuracy in an interactive information retrieval setting. |
Xuehua Shen; Bin Tan; ChengXiang Zhai; |
| 2005 | 6 | Information Retrieval System Evaluation: Effort, Sensitivity, And Reliability IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we revisit the question of how such tests should be used. |
Mark Sanderson; Justin Zobel; |
| 2005 | 7 | Using ODP Metadata To Personalize Search IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we discuss how these metadata can be exploited to achieve high quality personalized web search. |
Paul Alexandru Chirita; Wolfgang Nejdl; Raluca Paiu; Christian Kohlschütter; |
| 2005 | 8 | Relation Between PLSA And NMF And Implications IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Non-negative Matrix Factorization (NMF, [5]) and Probabilistic Latent Semantic Analysis (PLSA, [4]) have been successfully applied to a number of text analysis tasks such as … |
Eric Gaussier; Cyril Goutte; |
| 2005 | 9 | Question Answering Passage Retrieval Using Dependency Relations IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present two methods for learning relation mapping scores from past QA pairs: one based on mutual information and the other on expectation maximization. |
Hang Cui; Renxu Sun; Keya Li; Min-Yen Kan; Tat-Seng Chua; |
| 2005 | 10 | Multi-label Informed Latent Semantic Indexing IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we introduce the multi-label informed latent semantic indexing (MLSI) algorithm which preserves the information of inputs and meanwhile captures the correlations between the multiple outputs. |
Kai Yu; Shipeng Yu; Volker Tresp; |
| 2005 | 11 | Learning To Estimate Query Difficulty: Including Applications To Missing Content Detection And Distributed Information Retrieval IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this article we present novel learning methods for estimating the quality of results returned by a search engine in response to a query. |
Elad Yom-Tov; Shai Fine; David Carmel; Adam Darlow; |
| 2005 | 12 | Multi-labelled Classification Using Maximum Entropy Method IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore correlations among categories with maximum entropy method and derive a classification algorithm for multi-labelled documents. |
Shenghuo Zhu; Xiang Ji; Wei Xu; Yihong Gong; |
| 2005 | 13 | Impedance Coupling In Content-targeted Advertising IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we study the problem of associating ads with a Web page, referred to as content-targeted advertising, from a computer science perspective. |
Berthier Ribeiro-Neto; Marco Cristo; Paulo B. Golgher; Edleno Silva de Moura; |
| 2005 | 14 | Improving Web Search Results Using Affinity Graph IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel ranking scheme named Affinity Ranking (AR) to re-rank search results by optimizing two metrics: (1) diversity — which indicates the variance of topics in a group of documents; (2) information richness — which measures the coverage of a single document to its topic. |
BENYU ZHANG et. al. |
| 2005 | 15 | A Probabilistic Model For Retrospective News Event Detection IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we do some explorations on both directions based on the following two characteristics of news articles. |
Zhiwei Li; Bin Wang; Mingjing Li; Wei-Ying Ma; |
| 2004 | 1 | Retrieval Evaluation With Incomplete Information IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper examines whether the Cranfield evaluation methodology is robust to gross violations of the completeness assumption (i.e., the assumption that all relevant documents within a test collection have been identified and are present in the collection). |
Chris Buckley; Ellen M. Voorhees; |
| 2004 | 2 | Eye-tracking Analysis Of User Behavior In WWW Search IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We investigate how users interact with the results page of a WWW search engine using eye-tracking. |
Laura A. Granka; Thorsten Joachims; Geri Gay; |
| 2004 | 3 | Learning To Cluster Web Search Results IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we reformalize the clustering problem as a salient phrase ranking problem. |
Hua-Jun Zeng; Qi-Cai He; Zheng Chen; Wei-Ying Ma; Jinwen Ma; |
| 2004 | 4 | Web-a-where: Geotagging Web Content IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe Web-a-Where, a system for associating geography with Web pages. |
Einat Amitay; Nadav Har’El; Ron Sivan; Aya Soffer; |
| 2004 | 5 | Cluster-based Retrieval Using Language Models IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose two new models for cluster-based retrieval and evaluate them on several TREC collections. |
Xiaoyong Liu; W. Bruce Croft; |
| 2004 | 6 | Text Classification And Named Entities For New Event Detection IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we show how performance on New Event Detection (NED) can be improved by the use of text classification techniques as well as by using named entities in a new way. |
Giridhar Kumaran; James Allan; |
| 2004 | 7 | A Collaborative Filtering Algorithm And Evaluation Metric That Accurately Model The User Experience IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: At the heart of these systems are the algorithms which generate the predictions and recommendations.In this article we empirically demonstrate that two of the most acclaimed CF recommendation algorithms have flaws that result in a dramatically unacceptable user experience.In response, we introduce a new Belief Distribution Algorithm that overcomes these flaws and provides substantially richer user modeling. |
Matthew R. McLaughlin; Jonathan L. Herlocker; |
| 2004 | 8 | Hourly Analysis Of A Very Large Topically Categorized Web Query Log IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We review a query log of hundreds of millions of queries that constitute the total query traffic for an entire week of a general-purpose commercial web search service. |
Steven M. Beitzel; Eric C. Jensen; Abdur Chowdhury; David Grossman; Ophir Frieder; |
| 2004 | 9 | An Automatic Weighting Scheme For Collaborative Filtering IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present an optimization algorithm to automatically compute the weights for different items based on their ratings from training users. |
Rong Jin; Joyce Y. Chai; Luo Si; |
| 2004 | 10 | A Formal Study Of Information Retrieval Heuristics IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a formal study of retrieval heuristics. |
Hui Fang; Tao Tao; ChengXiang Zhai; |
| 2004 | 11 | Discriminative Models For Information Retrieval IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore the applicability of discriminative classifiers for IR. |
Ramesh Nallapati; |
| 2004 | 12 | Dependence Language Model For Information Retrieval IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a new dependence language modeling approach to information retrieval. |
Jianfeng Gao; Jian-Yun Nie; Guangyuan Wu; Guihong Cao; |
| 2004 | 13 | Document Clustering By Concept Factorization IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new data clustering method called concept factorization that models each concept as a linear combination of the data points, and each data point as a linear combination of the concepts. |
Wei Xu; Yihong Gong; |
| 2004 | 14 | An Effective Approach To Document Retrieval Via Utilizing WordNet And Recognizing Phrases IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We utilize WordNet to disambiguate word senses of query terms. |
Shuang Liu; Fang Liu; Clement Yu; Weiyi Meng; |
| 2004 | 15 | Display Time As Implicit Feedback: Understanding Task Effects IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe the results of an intensive naturalistic study of the online information-seeking behaviors of seven subjects during a fourteen-week period. |
Diane Kelly; Nicholas J. Belkin; |
| 2003 | 1 | Document Clustering Based On Non-negative Matrix Factorization IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel document clustering method based on the non-negative factorization of the term-document matrix of the given document corpus. |
Wei Xu; Xin Liu; Yihong Gong; |
| 2003 | 2 | Automatic Image Annotation And Retrieval Using Cross-media Relevance Models IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we propose an automatic approach to annotating and retrieving images based on a training set of images. |
J. Jeon; V. Lavrenko; R. Manmatha; |
| 2003 | 3 | Modeling Annotated Data IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe three hierarchical probabilistic mixture models which aim to describe such data, culminating in correspondence latent Dirichlet allocation, a latent variable model that is effective at modeling the joint distribution of both types and the conditional distribution of the annotation given the primary type. |
David M. Blei; Michael I. Jordan; |
| 2003 | 4 | Question Classification Using Support Vector Machines IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents our research work on automatic question classification through machine learning approaches. |
Dell Zhang; Wee Sun Lee; |
| 2003 | 5 | Stuff I’ve Seen: A System For Personal Information Retrieval And Re-use IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe the design and evaluation of a system, called Stuff I’ve Seen (SIS), that facilitates information re-use. |
SUSAN DUMAIS et. al. |
| 2003 | 6 | Beyond Independent Relevance: Methods And Evaluation Metrics For Subtopic Retrieval IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a framework for evaluating subtopic retrieval which generalizes the traditional precision and recall metrics by accounting for intrinsic topic difficulty as well as redundancy in documents. We present a non-traditional retrieval problem we call subtopic retrieval. |
Cheng Xiang Zhai; William W. Cohen; John Lafferty; |
| 2003 | 7 | Table Extraction Using Conditional Random Fields IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the use of conditional random fields (CRFs) for table extraction, and compares them with hidden Markov models (HMMs). |
David Pinto; Andrew McCallum; Xing Wei; W. Bruce Croft; |
| 2003 | 8 | A Comparative Study On Content-based Music Genre Classification IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a new feature extraction method for music genre classification, DWCHs. |
Tao Li; Mitsunori Ogihara; Qi Li; |
| 2003 | 9 | Collaborative Filtering Via Gaussian Probabilistic Latent Semantic Analysis IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we describe a new model-based algorithm designed for this task, which is based on a generalization of probabilistic latent semantic analysis to continuous-valued response variables. |
Thomas Hofmann; |
| 2003 | 10 | Quantitative Evaluation Of Passage Retrieval Algorithms For Question Answering IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address this shortcoming, we present a quantitative evaluation of various passage retrieval algorithms for question answering, implemented in a framework called Pauchok. |
Stefanie Tellex; Boris Katz; Jimmy Lin; Aaron Fernandes; Gregory Marton; |
| 2003 | 11 | A System For New Event Detection IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a new method and system for performing the New Event Detection task, i.e., in one or multiple streams of news stories, all stories on a previously unseen (new) event are marked. |
Thorsten Brants; Francine Chen; Ayman Farahat; |
| 2003 | 12 | Using Terminological Feedback For Web Search Refinement: A Log-based Study IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We examine uptake, refinement effectiveness, conditions of use, and refinement type preferences. |
Peter Anick; |
| 2003 | 13 | Retrieval And Novelty Detection At The Sentence Level IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Previous research in novelty detection has focused on the task of finding novel material, given a set or stream of documents on a certain topic. |
James Allan; Courtney Wade; Alvaro Bolivar; |
| 2003 | 14 | Query Type Classification For Web Document Retrieval IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a user query classification scheme is proposed. |
In-Ho Kang; GilChang Kim; |
| 2003 | 15 | Combining Document Representations For Known-item Search IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper investigates the pre-conditions for successful combination of document representations formed from structural markup for the task of known-item search. |
Paul Ogilvie; Jamie Callan; |
| 2002 | 1 | Methods And Metrics For Cold-start Recommendations IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a new performance metric, the CROC curve, and demonstrate empirically that the various components of our testing strategy combine to obtain deeper understanding of the performance characteristics of recommender systems. |
Andrew I. Schein; Alexandrin Popescul; Lyle H. Ungar; David M. Pennock; |
| 2002 | 2 | Predicting Query Performance IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We develop a method for predicting query performance by computing the relative entropy between a query language model and the corresponding collection language model. |
Steve Cronen-Townsend; Yun Zhou; W. Bruce Croft; |
| 2002 | 3 | Collaborative Filtering With Privacy Via Factor Analysis IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we describe a new method for collaborative filtering which protects the privacy of individual data. |
John Canny; |
| 2002 | 4 | Novelty And Redundancy Detection In Adaptive Filtering IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper addresses the problem of extending an adaptive information filtering system to make decisions about the novelty and redundancy of relevant documents. |
Yi Zhang; Jamie Callan; Thomas Minka; |
| 2002 | 5 | Improving Stemming For Arabic Information Retrieval: Light Stemming And Co-occurrence Analysis IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We developed several light stemmers based on heuristics and a statistical stemmer based on co-occurrence for Arabic retrieval. |
Leah S. Larkey; Lisa Ballesteros; Margaret E. Connell; |
| 2002 | 6 | Web Question Answering: Is More Always Better? IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes a question answering system that is designed to capitalize on the tremendous amount of data that is now available online. |
Susan Dumais; Michele Banko; Eric Brill; Jimmy Lin; Andrew Ng; |
| 2002 | 7 | Generic Summarization And Keyphrase Extraction Using Mutual Reinforcement Principle And Sentence Clustering IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A novel method for simultaneous keyphrase extraction and generic text summarization is proposed by modeling text documents as weighted undirected and weighted bipartite graphs. |
Hongyuan Zha; |
| 2002 | 8 | Unsupervised Document Classification Using Sequential Information Maximization IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. |
Noam Slonim; Nir Friedman; Naftali Tishby; |
| 2002 | 9 | The Importance Of Prior Probabilities For Entry Page Search IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We explored three non-content features of web pages: page length, number of incoming links and URL form. |
Wessel Kraaij; Thijs Westerveld; Djoerd Hiemstra; |
| 2002 | 10 | Compression Of Inverted Indexes For Fast Query Evaluation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we revisit the compression of inverted lists of document postings that store the position and frequency of indexed terms, considering two approaches to improving retrieval efficiency: better implementation and better choice of integer compression schemes. |
Falk Scholer; Hugh E. Williams; John Yiannis; Justin Zobel; |
| 2002 | 11 | The Effect Of Topic Set Size On Retrieval Experiment Error IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper uses TREC results to empirically derive error rates based on the number of topics used in a test and the observed difference in the average scores. |
Ellen M. Voorhees; Chris Buckley; |
| 2002 | 12 | Cross-lingual Relevance Models IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a formal model of Cross-Language Information Retrieval that does not rely on either query translation or document translation. |
Victor Lavrenko; Martin Choquette; W. Bruce Croft; |
| 2002 | 13 | PageRank, HITS And A Unified Framework For Link Analysis IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We generalize and combine these key concepts into a unified framework, in which we prove that rankings produced by PageRank and HITS are both highly correlated with the ranking by in-degree and out-degree. |
Chris Ding; Xiaofeng He; Parry Husbands; Hongyuan Zha; Horst D. Simon; |
| 2002 | 14 | Two-stage Language Models For Information Retrieval IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a family of two-stage language models for information retrieval that explicitly captures the different influences of the query and document collection on the optimal settings of retrieval parameters. |
ChengXiang Zhai; John Lafferty; |
| 2002 | 15 | Document Clustering With Committees IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a clustering algorithm called CBC (Clustering By Committee) that is shown to produce higher quality clusters in document clustering tasks as compared to several well known clustering algorithms. |
Patrick Pantel; Dekang Lin; |
| 2001 | 1 | A Study Of Smoothing Methods For Language Models Applied To Ad Hoc Information Retrieval IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we study the problem of language model smoothing and its influence on retrieval performance. |
Chengxiang Zhai; John Lafferty; |
| 2001 | 2 | Generic Text Summarization Using Relevance Measure And Latent Semantic Analysis IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose two generic text summarization methods that create text summaries by ranking and extracting sentences from the original documents. |
Yihong Gong; Xin Liu; |
| 2001 | 3 | Models For Metasearch IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper makes three contributions to the problem of metasearch: (1) We describe and investigate a metasearch model based on an optimal democratic voting procedure, the Borda Count; (2) we describe and investigate a metasearch model based on Bayesian inference; and (3) we describe and investigate a model for obtaining upper bounds on the performance of metasearch algorithms. |
Javed A. Aslam; Mark Montague; |
| 2001 | 4 | A Study Of Thresholding Strategies For Text Categorization IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents an examination of the effect of thresholding strategies on the performance of a classifier under various conditions. |
Yiming Yang; |
| 2001 | 5 | Text Summarization Via Hidden Markov Models IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an approach to generating such summaries, a hidden Markov model that judges the likelihood that each sentence should be contained in the summary. |
John M. Conroy; Dianne P. O’leary; |
| 2001 | 6 | XIRQL: A Query Language For Information Retrieval In XML Documents IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Based on the document-centric view of XML, we present the query language XIRQL. |
Norbert Fuhr; Kai Großjohann; |
| 2001 | 7 | Effective Site Finding Using Link Anchor Information IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Link-based ranking methods have been described in the literature and applied in commercial Web search engines. |
Nick Craswell; David Hawking; Stephen Robertson; |
| 2001 | 8 | Stable Algorithms For Link Analysis IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we extend the analysis and show how it gives insight into ways of designing stable link analysis methods. |
Andrew Y. Ng; Alice X. Zheng; Michael I. Jordan; |
| 2001 | 9 | Exploiting Redundancy In Question Answering IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our goal is to automatically answer brief factual questions of the form “When was the Battle of Hastings?” |
Charles L. A. Clarke; Gordon V. Cormack; Thomas R. Lynam; |
| 2001 | 10 | Temporal Summaries Of New Topics IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We explain a method for evaluation, and describe an evaluation corpus that we have built. |
James Allan; Rahul Gupta; Vikas Khandelwal; |
| 2001 | 11 | Evaluation By Highly Relevant Documents IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Given the size of the web, the search engine industry has argued that engines should be evaluated by their ability to retrieve highly relevant pages rather than all possible … |
Ellen M. Voorhees; |
| 2001 | 12 | Ranking Retrieval Systems Without Relevance Judgments IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Based on this result, we propose and describe the initial results of a new evaluation methodology which replaces human relevance judgments with a randomly selected mapping of documents to topics which we refer to aspseudo-relevance judgments.Rankings of systems with our methodology correlate positively with official TREC rankings, although the performance of the top systems is not predicted well. |
Ian Soboroff; Charles Nicholas; Patrick Cahan; |
| 2001 | 13 | Static Index Pruning For Information Retrieval Systems IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce static index pruning methods that significantly reduce the index size in information retrieval systems.We investigate uniform and term-based methods that each remove selected entries from the index and yet have only a minor effect on retrieval results. |
DAVID CARMEL et. al. |
| 2001 | 14 | Modeling Score Distributions For Combining The Outputs Of Search Engines IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper the score distributions of a number of text search engines are modeled. |
R. Manmatha; T. Rath; F. Feng; |
| 2001 | 15 | Evaluating Topic-driven Web Crawlers IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose three different methods to evaluate crawling strategies. |
Filippo Menczer; Gautam Pant; Padmini Srinivasan; Miguel E. Ruiz; |
| 2000 | 1 | IR Evaluation Methods For Retrieving Highly Relevant Documents IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes evaluation methods based on the use of non-dichotomous relevance judgements in IR experiments. |
Kalervo Järvelin; Jaana Kekäläinen; |
| 2000 | 2 | Hierarchical Classification Of Web Content IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For the hierarchical approach, we found the same accuracy using a sequential Boolean decision rule and a multiplicative decision rule. |
Susan Dumais; Hao Chen; |
| 2000 | 3 | An Experimental Comparison Of Naive Bayesian And Keyword-based Anti-spam Filtering With Personal E-mail Messages IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: An alternative approach has recently been proposed, whereby a Naive Bayesian classifier is trained automatically to detect spam messages. |
Ion Androutsopoulos; John Koutsias; Konstantinos V. Chandrinos; Constantine D. Spyropoulos; |
| 2000 | 4 | Document Clustering Using Word Clusters Via The Information Bottleneck Method IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel implementation of the recently introduced information bottleneck method for unsupervised document clustering. |
Noam Slonim; Naftali Tishby; |
| 2000 | 5 | Building A Question Answering Test Collection IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The TREC-8 Question Answering (QA) Track was the first large-scale evaluation of domain-independent question answering systems. In addition to fostering research on the QA task, … |
Ellen M. Voorhees; Dawn M. Tice; |
| 2000 | 6 | Topical Locality In The Web IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we examine to what extent these ideas hold by empirically testing whether topical locality mirrors spatial locality of pages on the Web. |
Brian D. Davison; |
| 2000 | 7 | Bridging The Lexical Chasm: Statistical Approaches To Answer-finding IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The central aim of this work is to discover, through theoretical and empirical investigation, those statistical techniques best suited to the answer-finding problem. |
Adam Berger; Rich Caruana; David Cohn; Dayne Freitag; Vibhu Mittal; |
| 2000 | 8 | Incorporating Quality Metrics In Centralized/distributed Information Retrieval On The World Wide Web IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an approach that combines similarity-based similarity ranking with quality ranking in centralized and distributed search environments. |
Xiaolan Zhu; Susan Gauch; |
| 2000 | 9 | Automatic Generation Of Overview Timelines IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a statistical model of feature occurrence over time, and develop tests based on classical hypothesis testing for significance of term appearance on a given date. |
Russell Swan; James Allan; |
| 2000 | 10 | Question-answering By Predictive Annotation IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a new technique for question answering called Predictive Annotation. |
John Prager; Eric Brown; Anni Coden; Dragomir Radev; |
| 2000 | 11 | Does “authority” Mean Quality? Predicting Expert Quality Ratings Of Web Documents IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We report here on an experimental evaluation of this potential. |
Brian Amento; Loren Terveen; Will Hill; |
| 2000 | 12 | Evaluating Evaluation Measure Stability IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel way of examining the accuracy of the evaluation measures commonly used in information retrieval experiments. |
Chris Buckley; Ellen M. Voorhees; |
| 2000 | 13 | A Practical Hypertext Catergorization Method Using Links And Incrementally Available Class Information IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a practical method for enhancing both the speed and the quality of hypertext categorization using hyperlinks. |
Hyo-Jung Oh; Sung Hyon Myaeng; Mann-Ho Lee; |
| 2000 | 14 | Improving Text Categorization Methods For Event Tracking IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We adapted several supervised text categorization methods, specifically several new variants of the k-Nearest Neighbor (kNN) algorithm and a Rocchio approach, to track events. |
Yiming Yang; Tom Ault; Thomas Pierce; Charles W. Lattimer; |
| 2000 | 15 | Extracting Sentence Segments For Text Summarization: A Machine Learning Approach IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an approach to the design of an automatic text summarizer that generates a summary by extracting sentence segments. |
Wesley T. Chuang; Jihoon Yang; |
| 1999 | 1 | A Re-examination Of Text Categorization Methods IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Yiming Yang; Xin Liu; |
| 1999 | 2 | An Algorithmic Framework For Performing Collaborative Filtering IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Jonathan L. Herlocker; Joseph A. Konstan; Al Borchers; John Riedl; |
| 1999 | 3 | Probabilistic Latent Semantic Indexing IF:10 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Thomas Hofmann; |
| 1999 | 4 | Information Retrieval As Statistical Translation IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Adam Berger; John Lafferty; |
| 1999 | 5 | Deriving Concept Hierarchies From Text IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Mark Sanderson; Bruce Croft; |
| 1999 | 6 | Summarizing Text Documents: Sentence Selection And Evaluation Metrics IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Jade Goldstein; Mark Kantrowitz; Vibhu Mittal; Jaime Carbonell; |
| 1999 | 7 | A Hidden Markov Model Information Retrieval System IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
David R. H. Miller; Tim Leek; Richard M. Schwartz; |
| 1999 | 8 | Cross-language Information Retrieval Based On Parallel Texts And Automatic Mining Of Parallel Texts From The Web IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Jian-Yun Nie; Michel Simard; Pierre Isabelle; Richard Durand; |
| 1999 | 9 | Cluster-based Language Models For Distributed Retrieval IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Jinxi Xu; W. Bruce Croft; |
| 1999 | 10 | Visualization Of Search Results: A Comparative Evaluation Of Text, 2D, And 3D Interfaces IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Marc M. Sebrechts; John V. Cugini; Sharon J. Laskowski; Joanna Vasilakis; Michael S. Miller; |
| 1999 | 11 | Combining Multiple Evidence From Different Types Of Thesaurus For Query Expansion IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Rila Mandala; Takenobu Tokunaga; Hozumi Tanaka; |
| 1999 | 12 | The Paraphrase Search Assistant: Terminological Feedback For Iterative Information Seeking IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Peter G. Anick; Suresh Tipirneni; |
| 1999 | 13 | The Decomposition Of Human-written Summary Sentences IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Hongyan Jing; Kathleen R. McKeown; |
| 1999 | 14 | Document Expansion For Speech Retrieval IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Amit Singhal; Fernando Pereira; |
| 1999 | 15 | Comparing The Performance Of Database Selection Algorithms IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
JAMES C. FRENCH et. al. |
| 1998 | 1 | The Use Of MMR, Diversity-based Reranking For Reordering Documents And Producing Summaries IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Jaime Carbonell; Jade Goldstein; |
| 1998 | 2 | Web Document Clustering: A Feasibility Demonstration IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Oren Zamir; Oren Etzioni; |
| 1998 | 3 | Distributional Clustering Of Words For Text Classification IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
L. Douglas Baker; Andrew Kachites McCallum; |
| 1998 | 4 | Variations In Relevance Judgments And The Measurement Of Retrieval Effectiveness IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Ellen M. Voorhees; |
| 1998 | 5 | A Study Of Retrospective And On-line Event Detection IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Yiming Yang; Tom Pierce; Jaime Carbonell; |
| 1998 | 6 | A Language Modeling Approach To Information Retrieval IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Jay M. Ponte; W. Bruce Croft; |
| 1998 | 7 | Improved Algorithms For Topic Distillation In A Hyperlinked Environment IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Krishna Bharat; Monika R. Henzinger; |
| 1998 | 8 | Improving Automatic Query Expansion IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Mandar Mitra; Amit Singhal; Chris Buckley; |
| 1998 | 9 | On-line New Event Detection And Tracking IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
James Allan; Ron Papka; Victor Lavrenko; |
| 1998 | 10 | How Reliable Are The Results Of Large-scale Information Retrieval Experiments? IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new pooling strategy that can significantly in- crease the number of relevant documents found for given effort, without compromising fairness. |
Justin Zobel; |
| 1998 | 11 | Advantages Of Query Biased Summaries In Information Retrieval IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Anastasios Tombros; Mark Sanderson; |
| 1998 | 12 | Boosting And Rocchio Applied To Text Filtering IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Robert E. Schapire; Yoram Singer; Amit Singhal; |
| 1998 | 13 | Resolving Ambiguity For Cross-language Retrieval IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Lisa Ballesteros; W. Bruce Croft; |
| 1998 | 14 | Automatic Essay Grading Using Text Categorization Techniques IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Leah S. Larkey; |
| 1998 | 15 | The Effects Of Query Structure And Dictionary Setups In Dictionary-based Cross-language Information Retrieval IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Ari Pirkola; |
| 1997 | 1 | Analyses Of Multiple Evidence Combination IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Joon Ho Lee; |
| 1997 | 2 | Feature Selection, Perceptron Learning, And A Usability Case Study For Text Categorization IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Hwee Tou Ng; Wei Boon Goh; Kok Leong Low; |
| 1997 | 3 | Phrasal Translation And Query Expansion Techniques For Cross-language Information Retrieval IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Lisa Ballesteros; W. Bruce Croft; |
| 1997 | 4 | Passage Retrieval Revisited IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we explore the potential of passage retrieval, based on an experimental evaluation of the ability of passages to identify relevant documents. |
Marcin Kaszkiel; Justin Zobel; |
| 1997 | 5 | PAT-tree-based Keyword Extraction For Chinese Information Retrieval IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Lee-Feng Chien; |
| 1997 | 6 | Projections For Efficient Document Clustering IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Hinrich Schütze; Craig Silverstein; |
| 1997 | 7 | Cat-a-Cone: An Interactive Interface For Specifying Searches And Viewing Retrieval Results Using A Large Category Hierarchy IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Marti A. Hearst; Chandu Karadi; |
| 1997 | 8 | Automatic Feedback Using Past Queries: Social Searching? IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Larry Fitzpatrick; Mei Dent; |
| 1997 | 9 | On Relevance Weights With Little Relevance Information IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
S. E. Robertson; S. Walker; |
| 1997 | 10 | Fast And Effective Query Refinement IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Bienvenido Vélez; Ron Weiss; Mark A. Sheldon; David K. Gifford; |
| 1997 | 11 | Learning Routing Queries In A Query Zone IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Amit Singhal; Mandar Mitra; Chris Buckley; |
| 1997 | 12 | Image Retrieval By Hypertext Links IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
V. Harmandas; M. Sanderson; M. D. Dunlop; |
| 1997 | 13 | Comparing Representations In Chinese Information Retrieval IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
K. L. Kwok; |
| 1997 | 14 | Exploiting Clustering And Phrases For Context-based Information Retrieval IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Peter G. Anick; Shivakumar Vaithyanathan; |
| 1997 | 15 | Dempster-Shafer’s Theory Of Evidence Applied To Structured Documents: Modelling Uncertainty IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Mounia Lalmas; |
| 1996 | 1 | Query Expansion Using Local And Global Document Analysis IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Jinxi Xu; W. Bruce Croft; |
| 1996 | 2 | Reexamining The Cluster Hypothesis: Scatter/gather On Retrieval Results IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Marti A. Hearst; Jan O. Pedersen; |
| 1996 | 3 | Training Algorithms For Linear Text Classifiers IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
David D. Lewis; Robert E. Schapire; James P. Callan; Ron Papka; |
| 1996 | 4 | Pivoted Document Length Normalization IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Amit Singhal; Chris Buckley; Mandar Mitra; |
| 1996 | 5 | Context-sensitive Learning Methods For Text Categorization IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
William W. Cohen; Yoram Singer; |
| 1996 | 6 | Combining Classifiers In Text Categorization IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Leah S. Larkey; W. Bruce Croft; |
| 1996 | 7 | Querying Across Languages: A Dictionary-based Approach To Multilingual Information Retrieval IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
David A. Hull; Gregory Grefenstette; |
| 1996 | 8 | Phonetic String Matching: Lessons From Information Retrieval IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Justin Zobel; Philip Dart; |
| 1996 | 9 | Experiments In Multilingual Information Retrieval Using The SPIDER System IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Páraic Sheridan; Jean Paul Ballerini; |
| 1996 | 10 | Experiments On Using Semantic Distances Between Words In Image Caption Retrieval IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Alan F. Smeaton; Ian Quigley; |
| 1996 | 11 | Viewing Stemming As Recall Enhancement IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Wessel Kraaij; Renée Pohlmann; |
| 1996 | 12 | A Belief Network Model For IR IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Berthier A. N. Ribeiro; Richard Muntz; |
| 1996 | 13 | Incremental Relevance Feedback For Information Filtering IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
James Allan; |
| 1996 | 14 | Visualizing Search Results: Some Alternatives To Query-document Similarity IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Lucy Terry Nowell; Robert K. France; Deborah Hix; Lenwood S. Heath; Edward A. Fox; |
| 1996 | 15 | Retrieving Spoken Documents By Combining Multiple Index Sources IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
G. J. F. Jones; J. T. Foote; K. Spärck Jones; S. J. Young; |
| 1995 | 1 | A Trainable Document Summarizer IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Julian Kupiec; Jan Pedersen; Francine Chen; |
| 1995 | 2 | Searching Distributed Collections With Inference Networks IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
James P. Callan; Zhihong Lu; W. Bruce Croft; |
| 1995 | 3 | A Comparison Of Classifiers And Document Representations For The Routing Problem IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Hinrich Schütze; David A. Hull; Jan O. Pedersen; |
| 1995 | 4 | Evaluating And Optimizing Autonomous Text Classification Systems IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
David D. Lewis; |
| 1995 | 5 | Generating Summaries Of Multiple News Articles IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Kathleen McKeown; Dragomir R. Radev; |
| 1995 | 6 | Evaluation Of Evaluation In Information Retrieval IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Tefko Saracevic; |
| 1995 | 7 | Learning Collection Fusion Strategies IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Ellen M. Voorhees; Narendra K. Gupta; Ben Johnson-Laird; |
| 1995 | 8 | Combining Multiple Evidence From Different Properties Of Weighting Schemes IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Joon Ho Lee; |
| 1995 | 9 | Optimization Of Relevance Feedback Weights IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Chris Buckley; Gerard Salton; |
| 1995 | 10 | Noise Reduction In A Statistical Approach To Text Categorization IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Yiming Yang; |
| 1995 | 11 | Cluster-based Text Categorization: A Comparison Of Category Search Strategies IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Makoto Iwayama; Takenobu Tokunaga; |
| 1995 | 12 | On The Reuse Of Past Optimal Queries IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Vijay V. Raghavan; Hayri Sever; |
| 1995 | 13 | Little Words Can Make A Big Difference For Text Classification IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Ellen Riloff; |
| 1995 | 14 | Probabilistic Datalog—a Logic For Powerful Retrieval Methods IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Norbert Fuhr; |
| 1995 | 15 | Relevance Feedback With Too Much Data IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
James Allan; |
| 1994 | 1 | A Sequential Algorithm For Training Text Classifiers IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
David D. Lewis; William A. Gale; |
| 1994 | 2 | Some Simple Effective Approximations To The 2-Poisson Model For Probabilistic Weighted Retrieval IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
S. E. Robertson; S. Walker; |
| 1994 | 3 | Query Expansion Using Lexical-semantic Relations IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Ellen M. Voorhees; |
| 1994 | 4 | OHSUMED: An Interactive Retrieval Evaluation And New Large Test Collection For Research IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
William Hersh; Chris Buckley; T. J. Leone; David Hickam; |
| 1994 | 5 | Information Filtering Based On User Behavior Analysis And Best Match Text Retrieval IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Masahiro Morita; Yoichi Shinoda; |
| 1994 | 6 | Passage-level Evidence In Document Retrieval IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
James P. Callan; |
| 1994 | 7 | Expert Network: Effective And Efficient Learning From Human Decisions In Text Categorization And Retrieval IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Yiming Yang; |
| 1994 | 8 | Word Sense Disambiguation And Information Retrieval IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Mark Sanderson; |
| 1994 | 9 | Automatic Combination Of Multiple Ranked Retrieval Systems IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Brian T. Bartell; Garrison W. Cottrell; Richard K. Belew; |
| 1994 | 10 | The Effect Of Adding Relevance Information In A Relevance Feedback Environment IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Chris Buckley; Gerard Salton; James Allan; |
| 1994 | 11 | Effective Retrieval Of Structured Documents IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Ross Wilkinson; |
| 1994 | 12 | LyberWorld—a Visualization User Interface Supporting Fulltext Retrieval IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Matthias Hemmje; Clemens Kunkel; Alexander Willett; |
| 1994 | 13 | Improving Text Retrieval For The Routing Problem Using Latent Semantic Indexing IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
David Hull; |
| 1994 | 14 | Towards Language Independent Automated Learning Of Text Categorization Models IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Chidanand Apté; Fred Damerau; Sholom M. Weiss; |
| 1994 | 15 | An Evaluation Method For Stemming Algorithms IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Chris D. Paice; |
| 1993 | 1 | Viewing Morphology As An Inference Process IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper will describe our experiments to determine the importance of morphology, and the effect that it has on performance. |
Robert Krovetz; |
| 1993 | 2 | Using WordNet To Disambiguate Word Senses For Text Retrieval IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes an automatic indexing procedure that uses the “IS-A” relations contained within WordNet and the set of nouns contained in a text to select a sense for each plysemous noun in the text. |
Ellen M. Voorhees; |
| 1993 | 3 | Using Statistical Testing In The Evaluation Of Retrieval Experiments IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The standard strategies for evaluation based on precision and recall are examined and their relative advantages and disadvantages are discussed. In particular, it is suggested … |
David Hull; |
| 1993 | 4 | Concept Based Query Expansion IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we present a probabilistic query expansion model based on a similarity thesaurus which was constructed automatically. |
Yonggang Qiu; Hans-Peter Frei; |
| 1993 | 5 | Approaches To Passage Retrieval In Full Text Information Systems IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: New approaches are described in this study for implementing selective passage retrieval systems, and identifying text passages responsive to particular user needs. |
Gerard Salton; J. Allan; Chris Buckley; |
| 1993 | 6 | Subtopic Structuring For Full-length Document Access IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We argue that the advent of large volumes of full-length text, as opposed to short texts like abstracts and newswire, should be accompanied by corresponding new approaches to information access. |
Marti A. Hearst; Christian Plaunt; |
| 1993 | 7 | Constant Interaction-time Scatter/gather Browsing Of Very Large Document Collections IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a scheme that supports constant interaction-time Scatter/Gather of arbitrarily large collections after near-linear time preprocessing. |
Douglass R. Cutting; David R. Karger; Jan O. Pedersen; |
| 1993 | 8 | The Effect Multiple Query Representations On Information Retrieval System Performance IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Nicholas J. Belkin; C. Cool; W. Bruce Croft; James P. Callan; |
| 1993 | 9 | Overview Of The First TREC Conference IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The goal of the conference was to bring research groups together to discuss their work on a new large test collection. |
Donna Harman; |
| 1993 | 10 | The Identification Of Important Concepts In Highly Structured Technical Papers IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes an approach in which the indexing and abstracting tasks are effectively combined. |
Chris D. Paice; Paul A. Jones; |
| 1993 | 11 | MURAX: A Robust Linguistic Approach For Question Answering Using An On-line Encyclopedia IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The methods hypothesize noun phrases that are likely to be the answer, and present the user with relevant text in which they are marked, focussing the user’s attention appropriately. |
Julian Kupiec; |
| 1993 | 12 | Cluster Analysis For Hypertext Systems IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we present a technique to identify “natural” clusters in a hypertext. |
Rodrigo A. Botafogo; |
| 1993 | 13 | A Model Of Information Retrieval Based On A Terminological Logic IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Carlo Meghini; Fabrizio Sebastiani; Umberto Straccia; Costantino Thanos; |
| 1993 | 14 | Automatic Indexing Based On Bayesian Inference Networks IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a Bayesian inference network model for automatic indexing with index terms (descriptors) from a prescribed vocabulary is presented. |
Kostas Tzeras; Stephan Hartmann; |
| 1993 | 15 | Relevance Feedback And Inference Networks IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we extend the inference network model introduced by Turtle and Croft to include relevance feedback techniques. |
David Haines; W. Bruce Croft; |
| 1992 | 1 | Scatter/Gather: A Cluster-based Approach To Browsing Large Document Collections IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a document browsing technique that employs document clustering as its primary operation. |
Douglass R. Cutting; David R. Karger; Jan O. Pedersen; John W. Tukey; |
| 1992 | 2 | An Evaluation Of Phrasal And Clustered Representations On A Text Categorization Task IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we study the properties of phrasal and clustered indexing languages on a text categorization task, enabling us to study their properties in isolation from query interpretation issues. |
David D. Lewis; |
| 1992 | 3 | Relevance Feedback Revisited IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In order to run a user experiment on a large document collection, experiments were performed at NIST to complete some of the missing links found in using the probabilistic retrieval model. |
Donna Harman; |
| 1992 | 4 | Classifying News Stories Using Memory Based Reasoning IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe a method for classifying news stories using Memory Based Reasoning (MBR) a k-nearest neighbor method), that does not require manual topic definitions. |
Brij Masand; Gordon Linoff; David Waltz; |
| 1992 | 5 | The Dynamic HomeFinder: Evaluating Dynamic Queries In A Real-estate Information Exploration System IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We designed, implemented, and evaluated a new concept for visualizing and searching databases utilizing direct manipulation called dynamic queries. |
Christopher Williamson; Ben Shneiderman; |
| 1992 | 6 | Bead: Explorations In Information Visualization IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe work on the visualization of bibliographic data and, to aid in this task, the application of numerical techniques for multidimensional scaling. |
Matthew Chalmers; Paul Chitson; |
| 1992 | 7 | Experiments In Automatic Statistical Thesaurus Construction IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In conclusion, the authors suggest an alternate approach to automatic thesaurus construction which greatly simplifies the work of producing viable thesaurus classes. |
Carolyn J. Crouch; Bokyung Yang; |
| 1992 | 8 | Automating The Assignment Of Submitted Manuscripts To Reviewers IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A new automated assignment method called “n of 2n” achieves better performance than human experts by sending reviewers more papers than they actually have to review and then allowing them to choose part of their review load themselves. |
Susan T. Dumais; Jakob Nielsen; |
| 1992 | 9 | Probabilistic Retrieval Based On Staged Logistic Regression IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper these techniques are recombined in a new way to achieve greater accuracy of probabilistic estimate without undue additional computational complexity. |
William S. Cooper; Fredric C. Gey; Daniel P. Dabney; |
| 1992 | 10 | Use Of Syntactic Context To Produce Term Association Lists For Text Retrieval IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we will describe such an extraction technique that uses only coarse syntactic analysis and no domain knowledge. |
Gregory Grefenstette; |
| 1992 | 11 | Incremental Relevance Feedback IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we concentrate on a relevance feedback technique that allows easily understandable and manageable user interfaces, and at the same time provides high-quality retrieval results. |
IJsbrand Jan Aalbersberg; |
| 1992 | 12 | Latent Semantic Indexing Is An Optimal Special Case Of Multidimensional Scaling IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Latent Semantic Indexing (LSI) is a technique for representing documents, queries, and terms as vectors in a multidimensional real-valued space. |
Brian T. Bartell; Garrison W. Cottrell; Richard K. Belew; |
| 1992 | 13 | Retrieval Activities In A Database Consisting Of Heterogeneous Collections Of Structured Text IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The first part of this paper briefly describes a mathematical framework (called the containment model) that provides the operations and data structures for a text dominated database with a hierarchical structure. |
Forbes J. Burkowski; |
| 1992 | 14 | Parameterised Compression For Sparse Bitmaps IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here we consider techniques in which the encoding of each bitvector within the bitmap is parameterised, so that a different code can be used for each bitvector. |
Alistair Moffat; Justin Zobel; |
| 1992 | 15 | A System For Retrieving Speech Documents IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: An information retrieval model is presented for the retrieval of speech documents, i.e. audio recordings containing speech. |
Ulrike Glavitsch; Peter Schäuble; |
| 1991 | 1 | A Self-organizing Semantic Map For Information Retrieval IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Xia Lin; Dagobert Soergel; Gary Marchionini; |
| 1991 | 2 | The Use Of Phrases And Structured Queries In Information Retrieval IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
W. Bruce Croft; Howard R. Turtle; David D. Lewis; |
| 1991 | 3 | The Significance Of The Cranfield Tests On Index Languages IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Cyril W. Cleverdon; |
| 1991 | 4 | Using The Cosine Measure In A Neural Network For Document Retrieval IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Ross Wilkinson; Philip Hingston; |
| 1991 | 5 | Complementary Structures In Disjoint Science Literatures IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Don R. Swanson; |
| 1991 | 6 | Automatic Text Structuring And Retrieval-experiments In Automatic Encyclopedia Searching IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Gerard Salton; Chris Buckley; |
| 1991 | 7 | Integrating Query Thesaurus, And Documents Through A Common Visual Representation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Richard H. Fowler; Wendy A. L. Fowler; Bradley A. Wilson; |
| 1991 | 8 | A Two-level Hypertext Retrieval Model For Legal Data IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Maristella Agosti; Roberto Colotti; Girolamo Gradenigo; |
| 1991 | 9 | Retrieval Performance In Ferret A Conceptual Information Retrieval System IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Michael L. Mauldin; |
| 1991 | 10 | Distributed Indexing: A Scalable Mechanism For Distributed Information Retrieval IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Peter B. Danzig; Jongsuk Ahn; John Noll; Katia Obraczka; |
| 1991 | 11 | The Smart Document Retrieval Project IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Gerard Salton; |
| 1991 | 12 | Some Inconsistencies And Misnomers In Probabilistic Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
William S. Cooper; |
| 1991 | 13 | Creating Segmented Databases From Free Text For Text Retrieval IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Lisa F. Rau; Paul S. Jacobs; |
| 1991 | 14 | On The Allocation Of Documents In Multiprocessor Information Retrieval Systems IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Ophir Frieder; Hava Tova Siegelmann; |
| 1991 | 15 | Incorporating A Semantic Analysis Into A Document Retrieval Strategy IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Edgar B. Wendlandt; James R. Driscoll; |
| 1990 | 1 | Inference Networks For Document Retrieval IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A network-based retrieval model is described and compared to conventional probabilistic and Boolean models. |
H. Turtle; W. B. Croft; |
| 1990 | 2 | Optimization For Dynamic Inverted Index Maintenance IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In particular, we present two novel optimizations, merge update, which performs better than straight forward block update, and pulsing which significantly reduces space requirements without sacrificing performance. |
D. Cutting; J. Pedersen; |
| 1990 | 3 | Term Clustering Of Syntactic Phrases IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we discuss our implementation of a syntactic phrase generator, as well as our preliminary experiments with producing phrase clusters. |
D. D. Lewis; W. B. Croft; |
| 1990 | 4 | A Direct Manipulation Interface For Boolean Information Retrieval Via Natural Language Query IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes the design of a direct manipulation user interface for Boolean information retrieval. |
P. G. ANICK et. al. |
| 1990 | 5 | Experiments With Query Acquisition And Use In Document Retrieval Systems IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we describe a study with the aim of evaluating how easily enhanced queries can be acquired from users and how effectively this additional knowledge can be used in retrieval. |
W. B. Croft; R. Das; |
| 1990 | 6 | Partitioned Posting Files: A Parallel Inverted File Structure For Information Retrieval IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes algorithms and data structures for applying a parallel computer to information retrieval. |
C. Stanfill; |
| 1990 | 7 | Order Preserving Minimal Perfect Hash Functions And Information Retrieval IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes a hashing method, developed for collections that are relatively static, that supports both direct and sequential access. |
E. A. Fox; Q. F. Chen; A. M. Daoud; L. S. Heath; |
| 1990 | 8 | Hypertext, Full Text, And Automatic Linking IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Current computing systems typically support only mid-century information structures: simple hierarchies. Hypertext technologies enable users to impose many structures on document … |
J. H. Coombs; |
| 1990 | 9 | A Retrieval Model Based On An Extended Modal Logic And Its Application To The RIME Experimental Approach IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: After presenting the context of the RIME project, we briefly describe the models designed for the internal representation of medical reports and queries. |
Y. Chiaramella; J. Nie; |
| 1990 | 10 | Determining The Functionality Features Of An Intelligent Interface To An Information Retrieval System IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a method for specifying the functionality of an intelligent interface to large-scale information retrieval systems, and for implementing those functions in an operational environment. |
N. J. Belkin; P. G. Marchetti; |
| 1990 | 11 | Probabilistic Document Indexing From Relevance Feedback Data IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Based on the binary independence indexing model, we apply three new concepts for probabilistic document indexing from relevance feedback data:
|
N. Fuhr; C. Buckley; |
| 1990 | 12 | On Hypertext IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This panel will employ two different interpretations of the phrase “growing up” to address areas of common interest between hypertext and information retrieval researchers. First, … |
M. Agosti; M. F. Bruandet; U. Hahn; S. Weiss; M. Frisse; |
| 1990 | 13 | Construction Of A Dynamic Thesaurus And Its Use For Associated Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The topics discussed in this paper: Connectionist Model, Automatic Indexing, Information Retrieval, and Thesaurus. |
H. Kimoto; T. Iwadera; |
| 1990 | 14 | Parallel Text Searching In Serial Files Using A Processor Farm IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper discusses the implementation of a parallel text retrieval system using a microprocessor network. |
J. K. Cringean; R. England; G. A. Manson; P. Willett; |
| 1990 | 15 | An Architecture For Probabilistic Concept-based Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
R. M. Fung; S. L. Crawford; L. A. Appelbaum; R. M. Tong; |
| 1989 | 1 | A New Approach To Text Searching IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a family of simple and fast algorithms for solving the classical string matching problem, string matching with don’t care symbols and complement symbols, and multiple patterns. |
R. A. Baeza-Yates; G. H. Gonnet; |
| 1989 | 2 | On The Application Of Syntactic Methodologies In Automatic Text Analysis IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study summarizes various linguistic approaches proposed for document analysis in information retrieval environments. |
G. Salton; M. Smith; |
| 1989 | 3 | Towards An Information Logic IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To appreciate this development I shall present a picture of IR, describing bits of a puzzle which may fit together to point to a new framework within which a computational model or logic could be described. |
C. J. van Rijsbergen; |
| 1989 | 4 | A Neural Network For Probabilistic Information Retrieval IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper demonstrates how a neural network may be constructed, together with learning algorithms and modes of operation, that will provide retrieval effectiveness similar to that of the probabilistic indexing and retrieval model based on single terms as document components. |
K. L. Kwok; |
| 1989 | 5 | Design Of A Browsing Interface For Information Retrieval IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes the design of a user interface which permits gradual enlargement or refinement of the user’s query by browsing through a graph of term and document subsets. |
R. Godin; C. Pichet; J. Gecsei; |
| 1989 | 6 | Adaptive Information Retrieval: Using A Connectionist Representation To Retrieve And Learn About Documents IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The central focus goal of this paper is to use our experience with AIR to highlight those characteristics of connectionist representations that make them particularly appropriate for IR applications. |
R. K. Belew; |
| 1989 | 7 | Information Retrieval Using A Hypertext-based Help System IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A study was conducted on information retrieval using a commercial hypertext based help system. |
F. R. Campagnoni; K. Erlich; |
| 1989 | 8 | Full Text Indexing Based On Lexical Relations An Application: Software Libraries IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present GURU, a tool that allows automatical building of such large software libraries from documented software components. |
Y. S. Maarek; F. Z. Smadja; |
| 1989 | 9 | How A Personal Document’s Intended Use Or Purpose Affects Its Classification In An Office IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper reports on one of the findings of a larger case study that attempts to describe how people organize documents in their own offices. |
B. Kwasnik; |
| 1989 | 10 | Storing Text Retrieval Systems On CD-ROM: Compression And Encryption Considerations IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
S. T. Klein; A. Bookstein; S. Deerwester; |
| 1989 | 11 | Word Sense Disambiguation Using Machine-readable Dictionaries IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
R. Krovetz; W. B. Croft; |
| 1989 | 12 | A Library System For Information Retrieval Based On A Cognitive Task Analysis And Supported By An Icon-based Interface IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
A. M. Pejtersen; |
| 1989 | 13 | A Parallel Indexed Algorithm For Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we present a parallel document ranking algorithm suitable for use on databases of 1-1000 GB, resident on primary or secondary storage. |
C. Stanfill; R. Thau; D. Waltz; |
| 1989 | 14 | Integrated Information Retrieval In A Knowledge Worker Support System IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes the design of the information retrieval facilities of an integrated information system called EUROMATH. |
G. McAlpine; P. Ingwersen; |
| 1989 | 15 | The Constituent Object Parser: Syntactic Structure Matching For Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
D. P. Metzler; S. W. Haas; |
| 1988 | 1 | On The Use Of Spreading Activation Methods In Automatic Information IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Spreading activation methods have been recommended in information retrieval to expand the search vocabulary and to complement the retrieved document sets. The spreading activation … |
G. Salton; C. Buckley; |
| 1988 | 2 | Information Retrieval Using A Singular Value Decomposition Model Of Latent Semantic Structure IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Singular-value decomposition is used to decompose a large term by document matrix into 50 to 150 orthogonal factors from which the original matrix can be approximated by linear combination; both documents and terms are represented as vectors in a 50- to 150- dimensional space. |
G. W. FURNAS et. al. |
| 1988 | 3 | The Automatic Indexing System AIR/PHYS – From Research To Applications IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: An appropriate indexing approach and the corresponding structure of the AIR/PHYS system are described. |
P. Biebricher; N. Fuhr; G. Lustig; M. Schwantner; G. Knorz; |
| 1988 | 4 | A Cluster-based Approach To Thesaurus Construction IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes one approach to the automatic generation of global thesauri, based on the discrimination value model of Salton, Yang, and Yu and on an appropriate clustering algorithm. |
C. J. Crouch; |
| 1988 | 5 | An Outline Of A General Model For Information Retrieval Systems IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As in the paper of Van Rijsbergen ([RIJ86]), the implicit base in all information retrieval systems is considered as a logical implication. |
J. Nie; |
| 1988 | 6 | Linear Structure In Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Based on the concept of user preference, we investigate the linear structure in information retrieval. |
S. K.M. Wong; Y. Y. Yao; |
| 1988 | 7 | Experiments On Incorporating Syntactic Processing Of User Queries Into A Document Retrieval Strategy IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper sets out to investigate whether linguistic processes can be used as part of a document retrieval strategy. |
A. F. Smeaton; C. J. van Rijsbergen; |
| 1988 | 8 | Coefficients Of Combining Concept Classes In A Collection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This report considers combining information to improve retrieval. |
E. A. Fox; G. L. Nunn; W. C. Lee; |
| 1988 | 9 | Knowledge Representation, Connectionism And Conceptual Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We draw some tentative, mixed conclusions on the potential for a union of KR, IR, and connectionism. |
R. J. Brachman; D. L. McGuinness; |
| 1988 | 10 | Rough Sets And Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The theory of rough sets was introduced [PAWLAK82]. |
P. Das-Gupta; |
| 1988 | 11 | Concept Based Retrieval In Classical IR Systems IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes some aspects of a project with the aim of developing a user-friendly interface to a classical Information Retrieval (IR) System in order to improve the effectiveness of retrieval. |
H. P. Giger; |
| 1988 | 12 | Compression Of Concordances In Full-text Retrieval Systems IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Several methods are presented, which efficiently compress concordances of large fulltext retrieval systems. |
Y. Choueka; A. S. Fraenkel; S. T. Klein; |
| 1988 | 13 | Retrieving Documents By Plausible Inference: A Priliminary Study IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explain our approach to plausible inference for retrieval and describe some preliminary experiments designed to test this approach. |
W. B. Croft; T. J. Lucia; P. R. Cohen; |
| 1988 | 14 | Integrated Information Retrieval For Law In A Hypertext Environment IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A prototype information retrieval system for lawyers, Justus, has been developed on a Sun workstation to run in a Guide hypertext environment. The hypertext database is … |
E. Wilson; |
| 1988 | 15 | Natural Language Techniques For Intelligent Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We provide an analysis of areas in which natural language and information retrieval come together, and describe a system that joins the two fields by combining technology, choice of application area, and knowledge acquisition techniques. |
P. S. Jacob; L. F. Rau; |
| 1987 | 1 | Conceptual Information Retrieval Using RUBRIC IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
R. Tong; L. Appelbaum; V. Askman; J. Cunningham; |
| 1987 | 2 | Automatic Phrase Indexing For Document Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: An automatic phrase indexing method based on the term discrimination model is described, and the results of retrieval experiments on five document collections are presented. |
J. Fagan; |
| 1987 | 3 | A Dynamic Cluster Maintenance System For Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Partitioning by clustering of very large databases is a necessity to reduce the space/time complexity of retrieval operations. However, the contemporary and modern retrieval … |
F. Can; E. Ozkarahan; |
| 1987 | 4 | A Failure Analysis Of The Limitation Of Suffixing In An Online Environment IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Three general purpose suffixing algorithms were used for retrieval on the Cranfield 1400, Medlars, and CACM collections, and the results analysed with several standard evaluation measures. |
D. Harman; |
| 1987 | 5 | Improved Techniques For Processing Queries In Full-text Systems IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose to combine the concordance and bit-map approaches, and show how this can speed up the processing of queries: fast ANDing and ORing of the maps in a preprocessing stage, lead to large I/O savings in collating coordinates of keywords needed to satisfy the metrical and Boolean constraints. |
Y. Choueka; A. Fraenkel; S. Klein; E. Segal; |
| 1987 | 6 | Adaptive Linear Information Retrieval Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a method and gives the precise semantics of the retrieval operations in a system where imprecision is allowed. |
P. Bollmann; S. K. M. Wong; |
| 1987 | 7 | Fast Object Partitioning Using Stochastic Learning Automata IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose two stochastic learning automata solutions to the problem. |
B. J. Oommen; D. Ma; |
| 1987 | 8 | An Approach To Image Retrieval From Large Image Databases IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we address the problem of retrieving images from large image databases, giving a partial description of the image content. |
F. Rabitti; P. Stanchev; |
| 1987 | 9 | An Approach To Natural Language For Document Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we describe an approach to using natural language processing (NLP) techniques for what is essentially a natural language problem – the comparison of a request text with the text of document titles and abstracts. |
B. Croft; |
| 1987 | 10 | Informational Zooming: An Interaction Model For The Graphical Access To Text Knowledge Bases IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
U. Thiel; R. Hammwohner; |
| 1987 | 11 | TIRS: A Topological Information Retrieval System Satisfying The Requirements Of The Waller-Kraft Wish List IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A more suitable model for retrieval of a single document assumes that the best document available is to be retrieved first. |
S. Cater; D. Kraft; |
| 1987 | 12 | EP-X: A Demonstration Of Semantically Based Search Of Bibliographic Databases IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper discusses
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D. Krawczak; P. Smith; S. Shute; |
| 1987 | 13 | Optimal Determination Of User-oriented Clusters IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, an enhancement of such a clustering scheme is presented. |
J. Deogun; V. Raghavan; |
| 1987 | 14 | Outline Of A Knowledge Base Model For An Intelligent Information Retrieval System IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We attempt in this paper to outline a method for the automatic construction of a knowledge base. |
M. F. Bruandet; |
| 1987 | 15 | Predictive Test Compression By Hashing IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The paper describes a family of such compression methods, using a hash table for searching the prediction information. |
T. Raita; J. Teuhola; |
| 1986 | 1 | S-tree: A Dynamic Balanced Signature Index For Office Retrieval IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we describe a new technique of indexed signatures which combines the dynamic balancing of B-trees with the signature approach. |
Uwe Deppisch; |
| 1986 | 2 | An Experimental Study Of Factors Important In Document Ranking IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper summarizes a set of experiments with different methods of term weighting for documents, using measures of term importance within an entire document collection, term importance within a given document, and document length. |
Donna Williamson Harman; |
| 1986 | 3 | (invited Paper) A New Theoretical Framework For Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A new framework based on a non-classical logic is proposed for investigating IR. |
C. J. van Rijsbergen; |
| 1986 | 4 | User-specified Domain Knowledge For Document Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a method is presented of combining user-specified domain knowledge with efficient retrieval techniques based on probabilistic models. |
W. B. Croft; |
| 1986 | 5 | Hierarchic Document Classification Using Ward’s Clustering Method IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we discuss the application of a recent hierarchic clustering algorithm to the automatic classification of files of documents. |
A. El-Hamdouchi; P. Willett; |
| 1986 | 6 | Recent Trends In Automatic Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Substantial successes were achieved in the early years in automatic indexing and retrieval using single term indexing theories with term weight assignments based on frequency considerations. |
Gerard Salton; |
| 1986 | 7 | Improved Hierarchical Bit-vector Compression In Document Retrieval Systems IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The new method was thoroughly tested on the bit-maps of the Responsa Retrieval Project, and gave a relative improvement of about 40% over the conventional hierarchical compression method. |
A. S. Fraenkel; S. T. Klein; Y. Choueka; E. Segal; |
| 1986 | 8 | Using Structural Representation Of Anomalous States Of Knowledge For Choosing Document Retrieval Strategies IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We report on a project which attempts to classify representations of the anomalous states of knowledge (ASKs) of users of document retrieval systems on the basis of structural characteristics of the representations, and which specifies different retrieval strategies and ranking mechanisms for each ASK class. |
N. J. Belkin; B. H. Kwaśnik; |
| 1986 | 9 | Incorporating Syntactic Information Into A Document Retrieval Strategy: An Investigation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper deals with mechanisms for performing text retrieval which incorporate a degree of linguistic processing into the overall strategy. |
Alan F. Smeaton; |
| 1986 | 10 | IOTA: A Full Text Information Retrieval System IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The paper emphazises the overall principles of query processing and gives hints about the underlying techniques used while constructing the thesaurus and automatically indexing highly structured documents. |
Y. Chiaramella; B. Defude; M. F. Bruandet; D. Kerkouba; |
| 1986 | 11 | User-oriented Document Clustering: A Framework For Learning In Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In information retrieval, cluster analysis is an important tool employed to enhance both efficiency and effectiveness of the retrieval process. Most clustering algorithms have … |
J. S. Deogun; V. V. Raghavan; |
| 1986 | 12 | The Efficiency Of Inverted Index And Cluster Searches IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The processing time and disk space requirements of an inverted index and top-down cluster search are compared. The cluster search is shown to use both more time and more disk … |
Ellen M. Voorhees; |
| 1986 | 13 | Improved Subject Access, Browsing And Scanning Mechanisms In Modern On-line IR IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Focusing on communication, the paper analyses and proposes practical solutions to key problems in online IR, in particular concerned with ill defined and “muddled” information requirements, concept interpretation in searching and text representation. |
Peter Ingwersen; Irene Wormell; |
| 1986 | 14 | A Machine Learning Approach In Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
S. K. M. Wong; W. Ziarko; |
| 1986 | 15 | The Maximum Entropy Principle In Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Applications, assumptions and properties of the maximum entropy principle are discussed. The maximum entropy principle integrates prior estimates of relevance with the observed … |
Paul B. Kantor; Jung Jin Lee; |
| 1985 | 1 | The User’s Mental Model Of An Information Retrieval System IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: An empirical study was performed to train naive subjects in the use of a prototype Boolean logic-based information retrieval system on a bibliographic database. |
Christine L. Borgman; |
| 1985 | 2 | Generalized Vector Spaces Model In Information Retrieval IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a systematic method (the generalized vector space model) to compute term correlations directly from automatic indexing scheme. |
S. K. M. Wong; Wojciech Ziarko; Patrick C. N. Wong; |
| 1985 | 3 | Optimization Of Inverted Vector Searches IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A simple algorithm is presented for increasing the efficiency of information retrieval searches which are implemented using inverted files. |
Chris Buckley; Alan F. Lewit; |
| 1985 | 4 | The Cluster Hypothesis Revisited IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A new means of evaluating the cluster hypothesis is introduced and the results of such an evaluation are presented for four collections. The results of retrieval experiments … |
Ellen M. Voorhees; |
| 1985 | 5 | Adaptive Document Clustering IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
C. T. Yu; Y. T. Wang; C. H. Chen; |
| 1985 | 6 | One-time Complete Indexing Of Text: Theory And Practice IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The model provides a descriptive and predictive tool for controlling precision and recall in searching and for scaling estimates of relevance to an adaptive reference noise distribution for a target collection. |
Raymond J. D’Amore; Clinton P. Mah; |
| 1985 | 7 | Efficient Variants Of Huffman Codes In High Level Languages IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Although it is well-known that Huffman Codes are optimal for text compression in a character-per-character encoding scheme, they are seldom used in practical situations since they … |
Y. Choueka; S. T. Klein; Y. Perl; |
| 1985 | 8 | The LIVE-project: Retrieval Experiments Based On Evaluation Viewpoints IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Besides the operators ‘and’, ‘or’ and ‘not’ the GRIPS retrieval language contains thesaurus — operators to extend the query and truncation — and context-operators for freetext and … |
P. Bollmann; F. Jochum; U. Reiner; V. Weissmann; H. Zuse; |
| 1985 | 9 | Concepts Of The Cover Coefficient-based Clustering Methodology IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Document clustering has several unresolved problems. Among them are high time and space complexity, difficulty of determining similarity thresholds, order dependence, … |
Fazli Can; Esen A. Ozkarahan; |
| 1985 | 10 | Automatic Assignment Of Soft Boolean Operators IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study various problems associated with the determination of appropriate p-values are discussed, and suggestions are made for an automatic assignment of p-values. |
Gerard Salton; Ellen Voorhees; |
| 1985 | 11 | Implications Of Boolean Structure For Probabilistic Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Abraham Bookstein; |
| 1985 | 12 | Composite Document Extended Retrieval: An Overview IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: It is necessary to extend the model in order to handle composite documents. |
Edward A. Fox; |
| 1985 | 13 | Designing An Information Retrieval Interface Based On User Characteristics IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper reports on a project to develop an integrated online instruction and assistance system to be used as a “front end” to the U.S. Department of Energy’s RECON retrieval system. |
Christine L. Borgman; Donald Case; Charles T. Meadow; |
| 1985 | 14 | Different Levels Of Expertise For An Expert System In Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
B. Defude; |
| 1985 | 15 | A Learning Algorithm Applied To Document Redescription IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Michael D. Gordon; |
| 1984 | 1 | Term Conflation For Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes two experiments concerned with term conflation for information retrieval, and the CATALOG retrieval system designed utilizing the results of the experiments. |
W. B. Frakes; |
| 1984 | 2 | Query Enhancement By User Profiles IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe a theoretical model and an on-going series of experiments aimed at a priori query enhancement. |
Robert R. Korfhage; |
| 1984 | 3 | Two Axioms For Evaluation Measures In Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper evaluation measures for information retrieval system outputs are investigated from a measurement theoretic point of view. Two axioms are introduced: the axiom of … |
P. Bollmann; |
| 1984 | 4 | Monitoring And Evaluation Of Information Systems Via Transaction Log Analysis IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents an overview of the methodology, results obtained, and efforts that are being conducted within OCLC’s Office of Research. |
John E. Tolle; |
| 1984 | 5 | A Global Approach To Record Clustering And File Reorganization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present an integrated method for record clustering and reorganization which can be applied to any set of queries whose frequencies of request are known. |
Edward Omiecinski; Peter Scheuermann; |
| 1984 | 6 | Computing Text Constituency: An Algorithmic Approach To The Generation Of Text Graphs IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: An algorithm for text summarization (automatic abstracting) is presented which constitutes the text condensation component of TOPIC, a knowledge-based text information system. |
Udo Hahn; Ulrich Reimer; |
| 1984 | 7 | A Document-document Similarity Measure Based On Cited Titles And Probability Theory, And Its Application To Relevance Feedback Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The use of cited title terms of a scientific document for automatic indexing is explored. It offers a means of index term selection as well as term relevance weighting, based on … |
K. L. Kwok; |
| 1984 | 8 | Framework For The Development Of An Experimental Mixed-mode Message System IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We describe a framework for the development of a mixed-mode message system for an office environment. |
S. Christodoulakis; |
| 1984 | 9 | The Semantic Binary Relationship Model Of Information IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The Semantic Binary Relationship Model (SBRM) is a first-order formalism which combines an organisationally simple basis (i.e. binary relationships) with the capabilities of … |
M. Azmoodeh; S. H. Lavington; M. Standring; |
| 1984 | 10 | Knowledge Based Systems Versus Thesaurus: An Architecture Problem About Expert Systems Design IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Nevertheless we must examine what knowledge we need. |
B. Defude; |
| 1984 | 11 | MARS: A Retrieval Tool On The Basis Of Morphological Analysis IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we present the system MARS which has been designed for potential database users working with retrieval systems. |
G. Th. Niedermair; G. Thurmair; I. Büttel; |
| 1984 | 12 | Dependency Parsing For Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes the development of a parser based on the Moulton and Robinson (1981) dependency theory of syntax, and several strategies by which we are attempting to apply the outputs of this parser to the processes of Information Retrieval. |
D. P. Metzler; T. Noreault; L. Richey; B. Heidorn; |
| 1983 | 1 | A Study Of The Overlap Among Document Representations IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Equivalence of representations should be decided on the basis of similarity in performance and similarity in the documents retrieved. |
Jeffrey Katzer; Judith Tessier; William Frakes; Padmini Das-Gupta; |
| 1983 | 2 | Knowledge-Based Report Generation: A Technique For Automatically Generating Natural Language Reports From Databases IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The technique is currently being applied to the design of an automatic natural language stock report generator. |
Karen Kukich; |
| 1983 | 4 | Intelligent Information Systems IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper will discuss approaches to both concept learning, in the form of Generalization-Based Memory, and powerful, robust text processing achieved by Memory-Based Understanding. |
Michael Lebowitz; |
| 1983 | 5 | Information Retrieval Using A Transportable Natural Language Interface IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes work in progress to develop a facility for natural language access to a variety of computer databases and database systems. |
Madeleine Bates; Robert J. Bobrow; |
| 1983 | 6 | Using Discourse Analysis For The Design Of Information Retrieval Interaction Mechanisms IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
H. M. Brooks; N. J. Belkin; |
| 1983 | 7 | End User Behavior On An Online Information Retrieval System: A Computer Monitoring Study IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We report on a computer monitoring study of users of the Ohio State University Libraries’ online catalog, an established and heavily used information retrieval system. |
Christine L. Borgman; |
| 1983 | 8 | Transaction Log Analysis Online Catalogs IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: From November 1981 to April 1983, OCLC’s Office of Research has been conducting research into online public access catalogs (OPACs). |
John E. Tolle; |
| 1983 | 9 | A Clustering Scheme IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a new clustering algorithm has been described. |
Fazli Can; Esen A. Ozkarahan; |
| 1983 | 10 | A Network Organization Used For Document Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Algorithms for generating and maintaining the network are described together with experiments designed to test their efficiency and effectiveness. |
W. B. Croft; R. Wolf; R. Thompson; |
| 1983 | 11 | User Interfaces To Information Systems: Choices Vs. Commands IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We tried two experiments, one using an on-line library catalog and the other an on-line news wire. |
V. J. Geller; M. E. Lesk; |
| 1983 | 12 | Evaluation Of The 2-Poisson Model As A Basis For Using Term Frequency Data In Searching IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The early work on the probabilistic models of retrieval assumed that the document representation is binary, indicating only the presence or absence of index terms. |
Vijay V. Raghavan; Hong-pao Shi; C. T. Yu; |
| 1983 | 13 | The Normalized Recall And Related Measures IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper an overview of its development is given. |
Peter Bollmann; |
| 1983 | 14 | Information Retrieval: New Directions: Old Solutions IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
C. J. van Rijsbergen; |
| 1983 | 15 | Some Research Problems In Automatic Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Information retrieval components are currently incorporated in several types of information systems, including bibliographic retrieval systems, data base management systems and … |
G. Salton; |
| 1982 | 1 | An Evaluation Of Term Dependence Models In Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, methods are outlined for generating dependency factors for term pairs and term triples and for using them in retrieval. |
G. Salton; C. Buckley; C. T. Yu; |
| 1982 | 2 | The Unified Probabilistic Model For IR IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
S. E. Robertson; M. E. Maron; W. S. Cooper; |
| 1982 | 3 | Explanation And Generalization Of Vector Models In Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Abraham Bookstein; |
| 1982 | 4 | Probabilistic Approaches To The Document Retrieval Problem IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
M. E. Maron; |
| 1982 | 5 | A Decision Theory Approach To Optimal Automatic Indexing IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A decision theory approach to the development of retrieval systems is presented. |
Gerhard Knorz; |
| 1982 | 6 | On The Architecture Of A System Integrating Data Base Management And Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The data model, i.e. data structures and operations needed for a system integrating the management of formated textual data (DBMIRS) are discussed. |
Horst Biller; |
| 1982 | 7 | An Intelligent Terminal For Implementing Relevance Feedback On Large Operational Retrieval Systems IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a software implementation of an ‘intelligent terminal’ is described. |
Joan Morrissey; |
| 1982 | 8 | Is Text Compression By Prefixes And Suffixes Practical? IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: One approach to text compression is to replace high-frequency variable-length fragments of words by fixed-length codes pointing to a <u>compression table</u> … |
A. S. Fraenkel; M. Mor; Y. Perl; |
| 1982 | 9 | Techniques For Measuring The Stability Of Clustering: A Comparative Study IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: These measures are considered in the context of analysing the stability characteristics of clustering techniques and are compared using a framework developed for this purpose. |
Vijay V. Raghavan; M. Y. L. Ip; |
| 1982 | 10 | Simulation Of Bibliographic Retrieval Databases Using Hyperterms IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
Jean Tague; Michael Nelson; |
| 1981 | 1 | A Comparison Of Search Term Weighting: Term Relevance Vs. Inverse Document Frequency IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The parameters needed to generate the term relevance factors cannot unfortunately be estimated accurately in practice; futhermore, in realistic test situations, it appears difficult to obtain improved retrieval results using the term relevance weights over much simpler term weighting systems such as, for example, the inverse document frequency weights.It is shown in this study that the inverse document frequency weights and the term relevance weights are closely related over a wide range of the frequency spectrum. |
Harry Wu; Gerard Salton; |
| 1981 | 2 | The Nearest Neighbour Problem In Information Retrieval: An Algorithm Using Upperbounds IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
A. F. Smeaton; C. J. van Rijsbergen; |
| 1981 | 3 | Performance Measurement In A Fuzzy Retrieval Environment IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We shall consider retrieval performance measures for generalized (non-Boolean) queries and indexing functions. |
Duncan A. Buell; Donald H. Kraft; |
| 1981 | 4 | Expert/consultation System For A Retrieval Data-base With Semantic Network Of Concepts IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes a development and implementation of an expert/consultation system for a retrieval data-base, that interfaces between the user and a retrieval system. |
Peretz Shoval; |
| 1981 | 5 | Simulation Of User Judgments In Bibliographic Retrieval Systems IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The new model integrates the physical as well as the logical and semantic elements of these systems. |
Jean M. Tague; Michael J. Nelson; |
| 1981 | 6 | Incorporating Different Search Models Into One Document Retrieval System IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A method of incorporating this learning ability into the system is described. |
W. Bruce Croft; |
| 1981 | 7 | Term Frequency And Term Value IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: No abstract available. … |
S. E. Robertson; |