Hit enter to search or ESC to close

Most Influential SIGIR Papers (2023-09)

admin

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: 2023-09)

To search or review papers within SIGIR related to a specific topic, please use the search by venue (SIGIR) and review by venue (SIGIR) services. To browse the most productive SIGIR authors by year ranked by #papers accepted, here is a list of most productive SIGIR authors.

Based in New York, Paper Digest is dedicated to producing high-quality text analysis results that people can acturally use on a daily basis. Since 2018, we have been serving users across the world with a number of exclusive services to track, search, review and rewrite scientific literature.

You are welcome to follow us on Twitter and Linkedin to get updated with new conference digests.

Paper Digest Team
New York City, New York, 10017
team@paperdigest.org

TABLE 1: Most Influential SIGIR Papers (2023-09)

Year Rank Paper Author(s)
2023 1 Can ChatGPT Write A Good Boolean Query for Systematic Review Literature Search?
IF:3   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 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 3 Where to Go Next for Recommender Systems? ID- Vs. Modality-based Recommender Models Revisited
IF:3   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 4 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 5 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 6 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 7 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;
2022 1 Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation
IF:4   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 Hypergraph Contrastive Collaborative Filtering
IF:3   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 3 Knowledge Graph Contrastive Learning for Recommendation
IF:3   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 4 From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective
IF:3   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 5 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 6 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 7 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 8 Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
IF:3   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 9 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.
2022 10 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 11 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 12 Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: In this paper, we propose SPACE, a novel unified pre-trained dialog model learning from large-scale dialog corpora with limited annotations, which can be effectively fine-tuned on a wide range of downstream dialog tasks.		 WANWEI HE et. al.
2022 13 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 14 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 15 Joint Multisided Exposure Fairness for Recommendation
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: Specifically, we consider group attributes for both types of stakeholders to identify and mitigate fairness concerns that go beyond individual users and items towards more systemic biases in recommendation.		 Haolun Wu; Bhaskar Mitra; Chen Ma; Fernando Diaz; Xue Liu;
2021 1 Self-supervised Graph Learning for Recommendation
IF:6   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 Efficiently Teaching An Effective Dense Retriever with Balanced Topic Aware Sampling
IF:5   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 3 Causal Intervention for Leveraging Popularity Bias in Recommendation
IF:4   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 4 Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations
IF:4   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 5 Optimizing Dense Retrieval Model Training with Hard Negatives
IF:4   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 6 WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
IF:4   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 Sequential Recommendation with Graph Neural Networks
IF:4   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 8 SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
IF:4   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 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 10 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 11 Learning Passage Impacts for Inverted Indexes
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: In this paper, we propose DeepImpact, a new document term-weighting scheme suitable for efficient retrieval using a standard inverted index.		 Antonio Mallia; Omar Khattab; Torsten Suel; Nicola Tonellotto;
2021 12 CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: In this paper, we propose to learn accurate and robust user representations, which are required to be less sensitive to (attack on) noisy behaviors and trust more on the indispensable ones, by modeling counterfactual data distribution.		 Shengyu Zhang; Dong Yao; Zhou Zhao; Tat-Seng Chua; Fei Wu;
2021 13 Deconfounded Video Moment Retrieval with Causal Intervention
IF:3   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 14 Augmenting Sequential Recommendation with Pseudo-Prior Items Via Reversely Pre-training Transformer
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: We introduce a new framework for Augmenting Sequential Recommendation with Pseudo-prior items (ASReP).		 Zhiwei Liu; Ziwei Fan; Yu Wang; Philip S. Yu;
2021 15 Empowering News Recommendation with Pre-trained Language Models
IF:3   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:7   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:5   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:5   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:4   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:4   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 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 8 Streaming Graph Neural Networks
IF:4   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 9 Alleviating The Inconsistency Problem Of Applying Graph Neural Network To Fraud Detection
IF:4   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 10 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 11 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 12 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.
2020 13 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 14 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 15 Open-Retrieval Conversational Question Answering
IF:4   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: To address this limitation, we introduce an open-retrieval conversational question answering (ORConvQA) setting, where we learn to retrieve evidence from a large collection before extracting answers, as a further step towards building functional conversational search systems.		 CHEN QU et. al.
2019 1 Neural Graph Collaborative Filtering
IF:8   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 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 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 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 5 CEDR: Contextualized Embeddings For Document Ranking
IF:5   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 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 8 Personalized Fashion Recommendation With Visual Explanations Based On Multimodal Attention Network: Towards Visually Explainable Recommendation
IF:4   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 9 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 10 A Collaborative Session-based Recommendation Approach With Parallel Memory Modules
IF:4   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 11 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 12 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 13 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 14 Critically Examining The Neural Hype: Weak Baselines And The Additivity Of Effectiveness Gains From Neural Ranking Models
IF:4   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: This paper provides a rigorous evaluation of those claims in two ways: First, we conducted a meta-analysis of papers that have reported experimental results on the TREC Robust04 test collection.		 Wei Yang; Kuang Lu; Peilin Yang; Jimmy Lin;
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:7   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:6   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 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 6 Conversational Recommender System
IF:6   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 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:5   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 Unbiased Learning To Rank With Unbiased Propensity Estimation
IF:4   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 12 Attentive Group Recommendation
IF:4   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 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 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;
2018 15 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;
2017 1 Neural Factorization Machines For Sparse Predictive Analytics
IF:8   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:7   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 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 4 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 5 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 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 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 9 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 10 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 11 AutoSVD++: An Efficient Hybrid Collaborative Filtering Model Via Contractive Auto-encoders
IF:4   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 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 Word-Entity Duet Representations For Document Ranking
IF:4   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: This paper presents a word-entity duet framework for utilizing knowledge bases in ad-hoc retrieval.		 Chenyan Xiong; Jamie Callan; Tie-Yan Liu;
2017 15 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;
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:5   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 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 12 Composite Correlation Quantization For Efficient Multimodal Retrieval
IF:4   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 13 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 14 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 15 Engineering Quality And Reliability In Technology-Assisted Review
IF:5   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: The objective of technology-assisted review ("TAR") is to find as much relevant information as possible with reasonable effort.		 Gordon V. Cormack; Maura R. Grossman;
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:5   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:4   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:3   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 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;
2015 15 HSpam14: A Collection Of 14 Million Tweets For Hashtag-Oriented Spam Research
IF:4   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: One major contribution of this work is the creation of HSpam14 dataset, which can be used for hashtag-oriented spam research in tweets.		 Surendra Sedhai; Aixin Sun;
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 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 7 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 8 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 9 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 10 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 11 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 12 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 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 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 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:7   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 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 4 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 5 Optimizing Top-n Collaborative Filtering Via Dynamic Negative Item Sampling
IF:4   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 6 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 7 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 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 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 11 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 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 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 14 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;
2013 15 Incorporating Vertical Results Into Search Click Models
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: According these analysis, we found that different result appearances may cause different behavior biases both for vertical results (local effect) and for the whole result lists (global effect). With the help of a popular commercial search engine in China, we collected a large scale log data set which contains behavior information on both vertical and ordinary results.		 CHAO WANG et. al.
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 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 3 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 4 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 5 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 6 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 7 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 8 Quality Through Flow And Immersion: Gamifying Crowdsourced Relevance Assessments
IF:5   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 9 Diversity By Proportionality: An Election-based Approach To Search Result Diversification
IF:4   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 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 12 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 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 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;
2012 15 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;
2011 1 Exploiting Geographical Influence For Collaborative Point-of-interest Recommendation
IF:8   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 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 7 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 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 CLR: A Collaborative Location Recommendation Framework Based On Co-clustering
IF:4   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: In this paper, GPS data is used in location-based services (LBSs) to provide collaborative location recommendations.		 Kenneth Wai-Ting Leung; Dik Lun Lee; Wang-Chien Lee;
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:4   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 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 12 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 13 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 14 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 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 Named Entity Recognition In Query
IF:6   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 4 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 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 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 7 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 8 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 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 Fast Nonparametric Matrix Factorization For Large-scale Collaborative Filtering
IF:4   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: In this paper we develop nonparametric matrix factorization methods by allowing the latent factors of two low-rank matrix factorization methods, the singular value decomposition (SVD) and probabilistic principal component analysis (pPCA), to be data-driven, with the dimensionality increasing with data size.		 Kai Yu; Shenghuo Zhu; John Lafferty; Yihong Gong;
2008 1 Novelty And Diversity In Information Retrieval Evaluation
IF:8   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 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 5 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 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 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 9 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 10 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 11 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 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 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 14 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;
2008 15 Real-time Automatic Tag Recommendation
IF:5   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.
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:6   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 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 9 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 10 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 11 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 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 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;
2007 15 Latent Concept Expansion Using Markov Random Fields
IF:5   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: In this paper, we propose a robust query expansion technique based onthe Markov random field model for information retrieval.		 Donald Metzler; W. Bruce Croft;
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 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 6 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 7 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 8 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 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 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;
2006 15 Minimal Test Collections For Retrieval Evaluation
IF:5   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: In this work we link evaluation with test collection construction to gain an understanding of the minimal judging effort that must be done to have high confidence in the outcome of an evaluation.		 Ben Carterette; James Allan; Ramesh Sitaraman;
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:8   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 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 13 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 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:4   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 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 14 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 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 Beyond Independent Relevance: Methods And Evaluation Metrics For Subtopic Retrieval
IF:6   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 6 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 7 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 8 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 9 Stuff I’ve Seen: A System For Personal Information Retrieval And Re-use
IF:6   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 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 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 9 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 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 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 14 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 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 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 11 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 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 Document Language Models, Query Models, And Risk Minimization For Information Retrieval
IF:6   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: We present a framework for information retrieval that combines document models and query models using a probabilistic ranking function based on Bayesian decision theory.		 John Lafferty; Chengxiang Zhai;
2001 14 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 15 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;
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:6   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 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 12 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 13 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 14 OCELOT: A System For Summarizing Web Pages
IF:5   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: This paper describes a technique for learning these models automatically from a collection of human-summarized web pages.		 Adam L. Berger; Vibhu O. Mittal;
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 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 4 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 5 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 6 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 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 Efficient Construction Of Large Test Collections
IF:5   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Abstract: No abstract available. …		 Gordon V. Cormack; Christopher R. Palmer; Charles L. A. Clarke;
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 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 11 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 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 Pivoted Document Length Normalization
IF:9   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Abstract: No abstract available. …		 Amit Singhal; Chris Buckley; Mandar Mitra;
1996 3 Reexamining The Cluster Hypothesis: Scatter/gather On Retrieval Results
IF:9   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Abstract: No abstract available. …		 Marti A. Hearst; Jan O. Pedersen;
1996 4 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 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 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 8 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 9 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 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 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 13 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 14 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;
1995 15 A Language For Queries On Structure And Contents Of Textual Databases
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Abstract: No abstract available. …		 Gonzalo Navarro; Ricardo Baeza-Yates;
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 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 10 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 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 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 13 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 14 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;
1994 15 Natural Language Vs. Boolean Query Evaluation: A Comparison Of Retrieval Performance
IF:4   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Abstract: No abstract available. …		 Howard Turtle;
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 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 9 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 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 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 13 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 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 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 8 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 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 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 8 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 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:4   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 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;
1990 11 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 12 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:

  • Abstraction from specific terms and documents, which overcomes the restriction of limited relevance information for parameter estimation.
 N. Fuhr; C. Buckley;
1990 13 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 14 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 15 A Dynamic Signature Technique For Multimedia Databases
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Highlight: A new signature technique, called Quick Filter, is proposed in the paper.		 F. Rabitti; P. Zezula;
1989 1 A New Approach To Text Searching
IF:6   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 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 6 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 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 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 11 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 12 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 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 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 4 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 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 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 11 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 12 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 13 A Look Back And A Look Forward
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Abstract: This paper is in two parts, following the suggestion that I first comment on my own past experience in information retrieval, and then present my views on the present and future. …		 K. Sparck Jones;
1988 14 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 15 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;
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 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 4 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 5 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 6 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 7 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 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

  • a sample interaction with EP-X,
  • the knowledge representations necessary to support this semantically-based interaction,
  • preliminary results of empirical studies to evaluate the interface, and
  • recommendations for future directions

 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 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;
1987 15 A Statistical Similarity Measure
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Abstract: Within the framework of the vector space models, a statistical similarity measure between document and query is proposed. In this approach the assumption that term (or atomic) …		 S. K. M. Wong; Y. Y. Yao;
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:4   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 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 2 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 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 RUBRIC: An Environment For Full Text Information Retrieval
IF:3   Related Papers   Related Patents   Related Grants   Related Venues   Related Experts   View
Abstract: No abstract available. …		 Richard M. Tong; Victor N. Askman; James F. Cunningham; Carl J. Tollander;
1985 10 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 11 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 12 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 13 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 14 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 15 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;
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 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 5 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 6 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 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 3 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:3   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 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 10 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 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 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 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 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 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;