Most Influential SIGIR Papers (2023-04)

April 10, 2023October 3, 2023 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: 2023-04)

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TABLE 1: Most Influential SIGIR Papers (2023-04)

Year	Rank	Paper	Author(s)
2022	1	Hypergraph Contrastive Collaborative Filtering IF:3 Related Papers Related Patents Related Grants Related Orgs 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	2	From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective IF:3 Related Papers Related Patents Related Grants Related Orgs 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	3	Knowledge Graph Contrastive Learning for Recommendation IF:3 Related Papers Related Patents Related Grants Related Orgs 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	Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation IF:3 Related Papers Related Patents Related Grants Related Orgs 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	5	CenterCLIP: Token Clustering for Efficient Text-Video Retrieval IF:3 Related Papers Related Patents Related Grants Related Orgs 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	Pre-train A Discriminative Text Encoder for Dense Retrieval Via Contrastive Span Prediction IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: However, we argue that 1) it is not discriminative to decode all the input texts and, 2) even a weak decoder has the bypass effect on the encoder. Therefore, in this work, we introduce a novel contrastive span prediction task to pre-train the encoder alone, but still retain the bottleneck ability of the autoencoder.	Xinyu Ma; Jiafeng Guo; Ruqing Zhang; Yixing Fan; Xueqi Cheng;
2022	7	Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion IF:3 Related Papers Related Patents Related Grants Related Orgs 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	8	Introducing Problem Schema with Hierarchical Exercise Graph for Knowledge Tracing IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Besides, the existing diagnosis results of knowledge tracing are not convincing enough since they neglect hierarchical relations between exercises. To solve the above problems, we propose a hierarchical graph knowledge tracing model called HGKT to explore the latent complex relations between exercises.	HANSHUANG TONG et. al.
2022	9	Curriculum Learning for Dense Retrieval Distillation IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we propose a generic curriculum learning based optimization framework called CL-DRD that controls the difficulty level of training data produced by the re-ranking (teacher) model.	Hansi Zeng; Hamed Zamani; Vishwa Vinay;
2022	10	Decoupled Side Information Fusion for Sequential Recommendation IF:3 Related Papers Related Patents Related Grants Related Orgs 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	11	Joint Multisided Exposure Fairness for Recommendation IF:3 Related Papers Related Patents Related Grants Related Orgs 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;
2022	12	Selective Fairness in Recommendation Via Prompts IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this work, we define the selective fairness task, where users can flexibly choose which sensitive attributes should the recommendation model be bias-free.	YIQING WU et. al.
2022	13	Graph Trend Filtering Networks for Recommendation IF:3 Related Papers Related Patents Related Grants Related Orgs 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	14	An Efficiency Study for SPLADE Models IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we focus on improving the efficiency of the SPLADE model since it has achieved state-of-the-art zero-shot performance and competitive results on TREC collections.	Carlos Lassance; Stéphane Clinchant;
2022	15	Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System IF:3 Related Papers Related Patents Related Grants Related Orgs 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.
2021	1	Self-supervised Graph Learning for Recommendation IF:5 Related Papers Related Patents Related Grants Related Orgs 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:4 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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:3 Related Papers Related Patents Related Grants Related Orgs 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:3 Related Papers Related Patents Related Grants Related Orgs 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	Clicks Can Be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue IF:3 Related Papers Related Patents Related Grants Related Orgs 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	9	SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking IF:3 Related Papers Related Patents Related Grants Related Orgs 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	10	AutoDebias: Learning to Debias for Recommendation IF:3 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	Counterfactual Data-Augmented Sequential Recommendation IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we propose a novel counterfactual data augmentation framework to mitigate the impact of the imperfect training data and empower sequential recommendation models.	ZHENLEI WANG et. al.
2020	1	LightGCN: Simplifying And Powering Graph Convolution Network For Recommendation IF:8 Related Papers Related Patents Related Grants Related Orgs 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:6 Related Papers Related Patents Related Grants Related Orgs 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	Global Context Enhanced Graph Neural Networks For Session-based Recommendation IF:4 Related Papers Related Patents Related Grants Related Orgs 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	4	Disentangled Graph Collaborative Filtering IF:4 Related Papers Related Patents Related Grants Related Orgs 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	5	Multi-behavior Recommendation With Graph Convolutional Networks IF:4 Related Papers Related Patents Related Grants Related Orgs 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 Orgs Related Experts View Highlight: Thus, we are motivated to develop a novel next-item recommendation framework empowered by sequential hypergraphs.	Jianling Wang; Kaize Ding; Liangjie Hong; Huan Liu; James Caverlee;
2020	7	Streaming Graph Neural Networks IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Hence, in this paper, we propose DyGNN, a Dynamic Graph Neural Network model, which can model the dynamic information as the graph evolving.	Yao Ma; Ziyi Guo; Zhaocun Ren; Jiliang Tang; Dawei Yin;
2020	8	Controlling Fairness And Bias In Dynamic Learning-to-Rank IF:4 Related Papers Related Patents Related Grants Related Orgs 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	9	DGL-KE: Training Knowledge Graph Embeddings At Scale IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This paper presents DGL-KE, an open-source package to efficiently compute knowledge graph embeddings.	DA ZHENG et. al.
2020	10	Fairness-Aware Explainable Recommendation Over Knowledge Graphs IF:4 Related Papers Related Patents Related Grants Related Orgs 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	11	TAGNN: Target Attentive Graph Neural Networks For Session-based Recommendation IF:4 Related Papers Related Patents Related Grants Related Orgs 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	12	Alleviating The Inconsistency Problem Of Applying Graph Neural Network To Fraud Detection IF:3 Related Papers Related Patents Related Grants Related Orgs 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	13	A General Knowledge Distillation Framework For Counterfactual Recommendation Via Uniform Data IF:3 Related Papers Related Patents Related Grants Related Orgs 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	Open-Retrieval Conversational Question Answering IF:3 Related Papers Related Patents Related Grants Related Orgs 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.
2020	15	Self-Supervised Reinforcement Learning For Recommender Systems IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we propose self-supervised reinforcement learning for sequential recommendation tasks.	Xin Xin; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose;
2019	1	Neural Graph Collaborative Filtering IF:8 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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:5 Related Papers Related Patents Related Grants Related Orgs 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:5 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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:4 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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	A Collaborative Session-based Recommendation Approach With Parallel Memory Modules IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a Collaborative Session-based Recommendation Machine (CSRM), a novel hybrid framework to apply collaborative neighborhood information to session-based recommendations.	MEIRUI WANG et. al.
2019	9	Personalized Fashion Recommendation With Visual Explanations Based On Multimodal Attention Network: Towards Visually Explainable Recommendation IF:4 Related Papers Related Patents Related Grants Related Orgs 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	10	Cross-Modal Interaction Networks For Query-Based Moment Retrieval In Videos IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we introduce a novel Cross-Modal Interaction Network (CMIN) to consider multiple crucial factors for this challenging task, including (1) the syntactic structure of natural language queries; (2) long-range semantic dependencies in video context and (3) the sufficient cross-modal interaction.	Zhu Zhang; Zhijie Lin; Zhou Zhao; Zhenxin Xiao;
2019	11	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 Orgs 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	12	Hate Speech Detection Is Not As Easy As You May Think: A Closer Look At Model Validation IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this work, we analyze this apparent contradiction between existing literature and actual applications.	Aym� Arango; Jorge P�rez; Barbara Poblete;
2019	13	Relational Collaborative Filtering: Modeling Multiple Item Relations For Recommendation IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this work, we propose Relational Collaborative Filtering (RCF) to exploit multiple item relations in recommender systems.	Xin Xin; Xiangnan He; Yongfeng Zhang; Yongdong Zhang; Joemon Jose;
2019	14	Warm Up Cold-start Advertisements: Improving CTR Predictions Via Learning To Learn ID Embeddings IF:3 Related Papers Related Patents Related Grants Related Orgs 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	15	Leveraging Emotional Signals For Credibility Detection IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we study the role of emotional signals in fake news detection.	Anastasia Giachanou; Paolo Rosso; Fabio Crestani;
2018	1	Modeling Long- And Short-Term Temporal Patterns With Deep Neural Networks IF:7 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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:5 Related Papers Related Patents Related Grants Related Orgs 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	Collaborative Memory Network For Recommendation Systems IF:5 Related Papers Related Patents Related Grants Related Orgs 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	9	Attentive Moment Retrieval In Videos IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We evaluate our method on two datasets: DiDeMo and TACoS.	MENG LIU et. al.
2018	10	Entire Space Multi-Task Model: An Effective Approach For Estimating Post-Click Conversion Rate IF:4 Related Papers Related Patents Related Grants Related Orgs 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	11	Unbiased Learning To Rank With Unbiased Propensity Estimation IF:4 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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:6 Related Papers Related Patents Related Grants Related Orgs 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:6 Related Papers Related Patents Related Grants Related Orgs 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:6 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	Word-Entity Duet Representations For Document Ranking IF:4 Related Papers Related Patents Related Grants Related Orgs 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	13	Neural Citation Network For Context-Aware Citation Recommendation IF:4 Related Papers Related Patents Related Grants Related Orgs 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	Exploiting Food Choice Biases For Healthier Recipe Recommendation IF:4 Related Papers Related Patents Related Grants Related Orgs 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	15	Learning To Rank Question Answer Pairs With Holographic Dual LSTM Architecture IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We describe a new deep learning architecture for learning to rank question answer pairs.	Yi Tay; Minh C. Phan; Luu Anh Tuan; Siu Cheung Hui;
2016	1	Fast Matrix Factorization For Online Recommendation With Implicit Feedback IF:8 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	Discrete Collaborative Filtering IF:5 Related Papers Related Patents Related Grants Related Orgs 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	7	Learning To Rank With Selection Bias In Personal Search IF:5 Related Papers Related Patents Related Grants Related Orgs 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	8	Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder IF:4 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	Document Retrieval Using Entity-Based Language Models IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We address the ad hoc document retrieval task by devising novel types of entity-based language models.	Hadas Raviv; Oren Kurland; David Carmel;
2015	1	Image-Based Recommendations On Styles And Substitutes IF:9 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	Monolingual And Cross-Lingual Information Retrieval Models Based On (Bilingual) Word Embeddings IF:5 Related Papers Related Patents Related Grants Related Orgs 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	7	GeoSoCa: Exploiting Geographical, Social And Categorical Correlations For Point-of-Interest Recommendations IF:5 Related Papers Related Patents Related Grants Related Orgs 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	8	Word Embedding Based Generalized Language Model For Information Retrieval IF:5 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	Fielded Sequential Dependence Model For Ad-Hoc Entity Retrieval In The Web Of Data IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this work, we propose a novel retrieval model that incorporates term dependencies into structured document retrieval and apply it to the task of ERWD.	Nikita Zhiltsov; Alexander Kotov; Fedor Nikolaev;
2015	14	Uncovering Crowdsourced Manipulation Of Online Reviews IF:3 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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	Supervised Hashing With Latent Factor Models IF:5 Related Papers Related Patents Related Grants Related Orgs 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	4	Entity Query Feature Expansion Using Knowledge Base Links IF:5 Related Papers Related Patents Related Grants Related Orgs 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	5	Evaluation Of Machine-learning Protocols For Technology-assisted Review In Electronic Discovery IF:5 Related Papers Related Patents Related Grants Related Orgs 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	6	Addressing Cold Start In Recommender Systems: A Semi-supervised Co-training Algorithm IF:4 Related Papers Related Patents Related Grants Related Orgs 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	7	Your Neighbors Affect Your Ratings: On Geographical Neighborhood Influence To Rating Prediction IF:4 Related Papers Related Patents Related Grants Related Orgs 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	Discriminative Coupled Dictionary Hashing For Fast Cross-media Retrieval IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a discriminative coupled dictionary hashing (DCDH) method in this paper.	ZHOU YU et. al.
2014	9	Towards Better Measurement Of Attention And Satisfaction In Mobile Search IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we studied whether tracking the browser viewport (visible portion of a web page) on mobile phones could enable accurate measurement of user attention at scale, and provide good measurement of search satisfaction in the absence of clicks.	Dmitry Lagun; Chih-Hung Hsieh; Dale Webster; Vidhya Navalpakkam;
2014	10	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 Orgs 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	11	ERD’14: Entity Recognition And Disambiguation Challenge IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	David Carmel; Ming-Wei Chang; Evgeniy Gabrilovich; Bo-June (Paul) Hsu; Kuansan Wang;
2014	12	Impact Of Response Latency On User Behavior In Web Search IF:4 Related Papers Related Patents Related Grants Related Orgs 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	13	IMRank: Influence Maximization Via Finding Self-consistent Ranking IF:4 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs Related Experts View Highlight: In this paper, we present a supervised framework for personalizing auto-completion ranking.	Milad Shokouhi;
2013	5	An Experimental Study On Implicit Social Recommendation IF:4 Related Papers Related Patents Related Grants Related Orgs 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	6	A Novel TF-IDF Weighting Scheme For Effective Ranking IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This article proposes a novel TF-IDF term weighting scheme that employs two different within document term frequency normalizations to capture two different aspects of term saliency.	Jiaul H. Paik;
2013	7	Beliefs And Biases In Web Search IF:4 Related Papers Related Patents Related Grants Related Orgs 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	8	Optimizing Top-n Collaborative Filtering Via Dynamic Negative Item Sampling IF:4 Related Papers Related Patents Related Grants Related Orgs 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	9	Opportunity Model For E-commerce Recommendation: Right Product; Right Time IF:4 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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	Who Will Retweet Me?: Finding Retweeters In Twitter IF:4 Related Papers Related Patents Related Grants Related Orgs 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	14	How Do Users Respond To Voice Input Errors?: Lexical And Phonetic Query Reformulation In Voice Search IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We conducted user experiments with native English speakers on their query reformulation behaviors in voice search and found that users often reformulate queries with both lexical and phonetic changes to previous queries.	Jiepu Jiang; Wei Jeng; Daqing He;
2013	15	Incorporating Vertical Results Into Search Click Models IF:3 Related Papers Related Patents Related Grants Related Orgs 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:5 Related Papers Related Patents Related Grants Related Orgs 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	TwiNER: Named Entity Recognition In Targeted Twitter Stream IF:5 Related Papers Related Patents Related Grants Related Orgs 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	3	Collaborative Personalized Tweet Recommendation IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we focus on recommending useful tweets that users are really interested in personally to reduce the users’ effort to find useful information.	KAILONG CHEN et. al.
2012	4	Exploring Social Influence For Recommendation: A Generative Model Approach IF:5 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs Related Experts View Highlight: In this paper, we propose a time-sensitive approach for query auto-completion.	Milad Shokouhi; Kira Radinsky;
2012	11	A Study Of Term Weighting Schemes Using Class Information For Text Classification IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	Youngjoong Ko;
2012	12	Privacy-aware Image Classification And Search IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In order to support users in making privacy decisions in the context of image sharing and to provide them with a better overview on privacy related visual content available on the Web, we propose techniques to automatically detect private images, and to enable privacy-oriented image search.	Sergej Zerr; Stefan Siersdorfer; Jonathon Hare; Elena Demidova;
2012	13	Modeling User Posting Behavior On Social Media IF:4 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	Composite Hashing With Multiple Information Sources IF:5 Related Papers Related Patents Related Grants Related Orgs 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	8	ILDA: Interdependent LDA Model For Learning Latent Aspects And Their Ratings From Online Product Reviews IF:5 Related Papers Related Patents Related Grants Related Orgs 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	9	A Cascade Ranking Model For Efficient Ranked Retrieval IF:5 Related Papers Related Patents Related Grants Related Orgs 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	10	Evolutionary Timeline Summarization: A Balanced Optimization Framework Via Iterative Substitution IF:4 Related Papers Related Patents Related Grants Related Orgs 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	11	Bagging Gradient-boosted Trees For High Precision, Low Variance Ranking Models IF:4 Related Papers Related Patents Related Grants Related Orgs 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	12	Query Suggestions In The Absence Of Query Logs IF:5 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs Related Experts View Highlight: In this paper, we tackle the above two essential problems analytically and empirically.	BIAO XIANG et. al.
2010	13	Predicting Searcher Frustration IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present several models to predict frustration using features extracted from query logs and physical sensors.	Henry A. Feild; James Allan; Rosie Jones;
2010	14	The Good, The Bad, And The Random: An Eye-tracking Study Of Ad Quality In Web Search IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We investigate how people interact with Web search engine result pages using eye-tracking.	Georg Buscher; Susan T. Dumais; Edward Cutrell;
2010	15	Do User Preferences And Evaluation Measures Line Up? IF:4 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	Detecting Spammers And Content Promoters In Online Video Social Networks IF:5 Related Papers Related Patents Related Grants Related Orgs 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	9	Portfolio Theory Of Information Retrieval IF:5 Related Papers Related Patents Related Grants Related Orgs 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	10	Predicting User Interests From Contextual Information IF:6 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	Exploring Folksonomy For Personalized Search IF:6 Related Papers Related Patents Related Grants Related Orgs 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	9	Multi-document Summarization Using Cluster-based Link Analysis IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This paper proposes the Cluster-based Conditional Markov Random Walk Model (ClusterCMRW) and the Cluster-based HITS Model (ClusterHITS) to fully leverage the cluster-level information.	Xiaojun Wan; Jianwu Yang;
2008	10	A Simple And Efficient Sampling Method For Estimating AP And NDCG IF:6 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	Clustering Short Texts Using Wikipedia IF:6 Related Papers Related Patents Related Grants Related Orgs 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	8	A Semantic Approach To Contextual Advertising IF:7 Related Papers Related Patents Related Grants Related Orgs 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	9	Information Re-retrieval: Repeat Queries In Yahoo’s Logs IF:6 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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	Learn From Web Search Logs To Organize Search Results IF:6 Related Papers Related Patents Related Grants Related Orgs 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	14	An Exploration Of Proximity Measures In Information Retrieval IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper,we systematically explore the query term proximity heuristic.	Tao Tao; ChengXiang Zhai;
2007	15	Feature Selection For Ranking IF:5 Related Papers Related Patents Related Grants Related Orgs 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;
2006	1	LDA-based Document Models For Ad-hoc Retrieval IF:9 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	A Framework To Predict The Quality Of Answers With Non-textual Features IF:6 Related Papers Related Patents Related Grants Related Orgs 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	10	User Performance Versus Precision Measures For Simple Search Tasks IF:6 Related Papers Related Patents Related Grants Related Orgs 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	11	Less Is More: Probabilistic Models For Retrieving Fewer Relevant Documents IF:6 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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	A Compositional Context Sensitive Multi-document Summarizer: Exploring The Factors That Influence Summarization IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, we study the contribution to summarization of three factors related to frequency: content word frequency, composition functions for estimating sentence importance from word frequency, and adjustment of frequency weights based on context.	Ani Nenkova; Lucy Vanderwende; Kathleen McKeown;
2005	1	Accurately Interpreting Clickthrough Data As Implicit Feedback IF:9 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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	Scalable Collaborative Filtering Using Cluster-based Smoothing IF:7 Related Papers Related Patents Related Grants Related Orgs 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	4	Context-sensitive Information Retrieval Using Implicit Feedback IF:7 Related Papers Related Patents Related Grants Related Orgs 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	5	Personalizing Search Via Automated Analysis Of Interests And Activities IF:7 Related Papers Related Patents Related Grants Related Orgs 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	6	Information Retrieval System Evaluation: Effort, Sensitivity, And Reliability IF:6 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	PageRank Without Hyperlinks: Structural Re-ranking Using Links Induced By Language Models IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Inspired by the PageRank and HITS (hubs and authorities) algorithms for Web search, we propose a structural re-ranking approach to ad hoc information retrieval: we reorder the documents in an initially retrieved set by exploiting asymmetric relationships between them.	Oren Kurland; Lillian Lee;
2004	1	Retrieval Evaluation With Incomplete Information IF:8 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs Related Experts View Highlight: We utilize WordNet to disambiguate word senses of query terms.	Shuang Liu; Fang Liu; Clement Yu; Weiyi Meng;
2004	14	Display Time As Implicit Feedback: Understanding Task Effects IF:5 Related Papers Related Patents Related Grants Related Orgs 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;
2004	15	Document Clustering By Concept Factorization IF:5 Related Papers Related Patents Related Grants Related Orgs 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;
2003	1	Document Clustering Based On Non-negative Matrix Factorization IF:9 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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	Table Extraction Using Conditional Random Fields IF:7 Related Papers Related Patents Related Grants Related Orgs 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	6	Beyond Independent Relevance: Methods And Evaluation Metrics For Subtopic Retrieval IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We propose a framework for evaluating subtopic retrieval which generalizes the traditional precision and recall metrics by accounting for intrinsic topic difficulty as well as redundancy in documents. We present a non-traditional retrieval problem we call subtopic retrieval.	Cheng Xiang Zhai; William W. Cohen; John Lafferty;
2003	7	A Comparative Study On Content-based Music Genre Classification IF:6 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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:7 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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:5 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	XIRQL: A Query Language For Information Retrieval In XML Documents IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Based on the document-centric view of XML, we present the query language XIRQL.	Norbert Fuhr; Kai Großjohann;
2001	6	Text Summarization Via Hidden Markov Models IF:6 Related Papers Related Patents Related Grants Related Orgs 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	7	Effective Site Finding Using Link Anchor Information IF:7 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	Modeling Score Distributions For Combining The Outputs Of Search Engines IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper the score distributions of a number of text search engines are modeled.	R. Manmatha; T. Rath; F. Feng;
2001	15	Static Index Pruning For Information Retrieval Systems IF:5 Related Papers Related Patents Related Grants Related Orgs 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.
2000	1	IR Evaluation Methods For Retrieving Highly Relevant Documents IF:9 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	Question-answering By Predictive Annotation IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: We present a new technique for question answering called Predictive Annotation.	John Prager; Eric Brown; Anni Coden; Dragomir Radev;
2000	10	Automatic Generation Of Overview Timelines IF:5 Related Papers Related Patents Related Grants Related Orgs 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	11	Evaluating Evaluation Measure Stability IF:5 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	Projections For Efficient Document Clustering IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	Hinrich Schütze; Craig Silverstein;
1997	6	PAT-tree-based Keyword Extraction For Chinese Information Retrieval IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	Lee-Feng Chien;
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 Orgs 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 Orgs 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 Orgs Related Experts View Abstract: No abstract available. …	S. E. Robertson; S. Walker;
1997	10	The Potential And Actual Effectiveness Of Interactive Query Expansion IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	Mark Magennis; Cornelis J. van Rijsbergen;
1997	11	Learning Routing Queries In A Query Zone IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	Amit Singhal; Mandar Mitra; Chris Buckley;
1997	12	Fast And Effective Query Refinement IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	Bienvenido Vélez; Ron Weiss; Mark A. Sheldon; David K. Gifford;
1997	13	Image Retrieval By Hypertext Links IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	V. Harmandas; M. Sanderson; M. D. Dunlop;
1997	14	Comparing Representations In Chinese Information Retrieval IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	K. L. Kwok;
1997	15	Exploiting Clustering And Phrases For Context-based Information Retrieval IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	Peter G. Anick; Shivakumar Vaithyanathan;
1996	1	Query Expansion Using Local And Global Document Analysis IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	Jinxi Xu; W. Bruce Croft;
1996	2	Reexamining The Cluster Hypothesis: Scatter/gather On Retrieval Results IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	Marti A. Hearst; Jan O. Pedersen;
1996	3	Pivoted Document Length Normalization IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	Amit Singhal; Chris Buckley; Mandar Mitra;
1996	4	Training Algorithms For Linear Text Classifiers IF:7 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs Related Experts View Abstract: No abstract available. …	Joon Ho Lee;
1995	8	Learning Collection Fusion Strategies IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	Ellen M. Voorhees; Narendra K. Gupta; Ben Johnson-Laird;
1995	9	Optimization Of Relevance Feedback Weights IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	Chris Buckley; Gerard Salton;
1995	10	Noise Reduction In A Statistical Approach To Text Categorization IF:5 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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:4 Related Papers Related Patents Related Grants Related Orgs 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:4 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs Related Experts View Highlight: We describe work on the visualization of bibliographic data and, to aid in this task, the application of numerical techniques for multidimensional scaling.	Matthew Chalmers; Paul Chitson;
1992	7	Experiments In Automatic Statistical Thesaurus Construction IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In conclusion, the authors suggest an alternate approach to automatic thesaurus construction which greatly simplifies the work of producing viable thesaurus classes.	Carolyn J. Crouch; Bokyung Yang;
1992	8	Automating The Assignment Of Submitted Manuscripts To Reviewers IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: A new automated assignment method called “n of 2n” achieves better performance than human experts by sending reviewers more papers than they actually have to review and then allowing them to choose part of their review load themselves.	Susan T. Dumais; Jakob Nielsen;
1992	9	Probabilistic Retrieval Based On Staged Logistic Regression IF:4 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs Related Experts View Abstract: No abstract available. …	Gerard Salton; Chris Buckley;
1991	7	Retrieval Performance In Ferret A Conceptual Information Retrieval System IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	Michael L. Mauldin;
1991	8	A Two-level Hypertext Retrieval Model For Legal Data IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	Maristella Agosti; Roberto Colotti; Girolamo Gradenigo;
1991	9	Integrating Query Thesaurus, And Documents Through A Common Visual Representation IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	Richard H. Fowler; Wendy A. L. Fowler; Bradley A. Wilson;
1991	10	Distributed Indexing: A Scalable Mechanism For Distributed Information Retrieval IF:4 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs Related Experts View Highlight: This paper describes algorithms and data structures for applying a parallel computer to information retrieval.	C. Stanfill;
1990	7	Hypertext, Full Text, And Automatic Linking IF:4 Related Papers Related Patents Related Grants Related Orgs 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	8	Order Preserving Minimal Perfect Hash Functions And Information Retrieval IF:4 Related Papers Related Patents Related Grants Related Orgs 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	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 Orgs 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 Orgs Related Experts View Abstract: No abstract available. …	R. M. Fung; S. L. Crawford; L. A. Appelbaum; R. M. Tong;
1990	11	Probabilistic Document Indexing From Relevance Feedback Data IF:3 Related Papers Related Patents Related Grants Related Orgs 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	12	Determining The Functionality Features Of An Intelligent Interface To An Information Retrieval System IF:3 Related Papers Related Patents Related Grants Related Orgs 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	13	On Hypertext IF:3 Related Papers Related Patents Related Grants Related Orgs 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	14	Construction Of A Dynamic Thesaurus And Its Use For Associated Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: The topics discussed in this paper: Connectionist Model, Automatic Indexing, Information Retrieval, and Thesaurus.	H. Kimoto; T. Iwadera;
1990	15	Parallel Text Searching In Serial Files Using A Processor Farm IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: This paper discusses the implementation of a parallel text retrieval system using a microprocessor network.	J. K. Cringean; R. England; G. A. Manson; P. Willett;
1989	1	A New Approach To Text Searching IF:6 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	Experiments On Incorporating Syntactic Processing Of User Queries Into A Document Retrieval Strategy IF:4 Related Papers Related Patents Related Grants Related Orgs 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	7	Linear Structure In Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Orgs 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	8	Coefficients Of Combining Concept Classes In A Collection IF:3 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Natural Language For Document Retrieval IF:3 Related Papers Related Patents Related Grants Related Orgs 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	9	An Approach To Image Retrieval From Large Image Databases IF:3 Related Papers Related Patents Related Grants Related Orgs 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	10	Informational Zooming: An Interaction Model For The Graphical Access To Text Knowledge Bases IF:3 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	One-time Complete Indexing Of Text: Theory And Practice IF:3 Related Papers Related Patents Related Grants Related Orgs 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	6	Adaptive Document Clustering IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	C. T. Yu; Y. T. Wang; C. H. Chen;
1985	7	Efficient Variants Of Huffman Codes In High Level Languages IF:3 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs Related Experts View Highlight: It is necessary to extend the model in order to handle composite documents.	Edward A. Fox;
1985	14	Different Levels Of Expertise For An Expert System In Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts View Abstract: No abstract available. …	B. Defude;
1985	15	Designing An Information Retrieval Interface Based On User Characteristics IF:3 Related Papers Related Patents Related Grants Related Orgs 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;
1984	1	Term Conflation For Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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	User Interfaces To Information Systems: Choices Vs. Commands IF:3 Related Papers Related Patents Related Grants Related Orgs 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	10	A Network Organization Used For Document Retrieval IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: Algorithms for generating and maintaining the network are described together with experiments designed to test their efficiency and effectiveness.	W. B. Croft; R. Wolf; R. Thompson;
1983	11	A Clustering Scheme IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts View Highlight: In this paper, a new clustering algorithm has been described.	Fazli Can; Esen A. Ozkarahan;
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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs 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 Orgs Related Experts View Abstract: No abstract available. …	S. E. Robertson;