Improving Web search for difficult queries

[1]  Graeme Hirst,et al.  Building and Using a Lexical Knowledge Base of Near-Synonym Differences , 2006, Computational Linguistics.

[2]  W. Bruce Croft,et al.  Predicting query performance , 2002, SIGIR '02.

[3]  Mark D. Dunlop.  The effect of accessing nonmatching documents on relevance feedback , 1997, TOIS.

[4]  Susan T. Dumais,et al.  Fast, flexible filtering with phlat , 2006, CHI.

[5]  Ricardo A. Baeza-Yates,et al.  Applications of Web Query Mining , 2005, ECIR.

[6]  Robin Jeffries,et al.  Orienteering in an information landscape: how information seekers get from here to there , 1993, INTERCHI.

[7]  Thorsten Joachims,et al.  Optimizing search engines using clickthrough data , 2002, KDD.

[8]  Chris Buckley.  Why current IR engines fail , 2004, SIGIR '04.

[9]  ChengXiang Zhai,et al.  Improve retrieval accuracy for difficult queries using negative feedback , 2007, CIKM '07.

[10]  Christopher Olston,et al.  Navigationaided retrieval , 2007, WWW '07.

[11]  Dimitrios Gunopulos,et al.  Identifying similarities, periodicities and bursts for online search queries , 2004, SIGMOD '04.

[12]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[13]  Zheng Chen,et al.  Latent semantic analysis for multiple-type interrelated data objects , 2006, SIGIR.

[14]  Xin Li,et al.  Context sensitive stemming for web search , 2007, SIGIR.

[15]  Ravi Kumar,et al.  On Semi-Automated Web Taxonomy Construction , 2001, WebDB.

[16]  Nicholas J. Belkin,et al.  Interaction with Texts: Information Retrieval as Information-Seeking Behavior , 1993, Information Retrieval.

[17]  Oren Etzioni,et al.  Web document clustering: a feasibility demonstration , 1998, SIGIR '98.

[18]  Marti A. Hearst,et al.  Scatter/gather browsing communicates the topic structure of a very large text collection , 1996, CHI.

[19]  Marti A. Hearst,et al.  Hierarchical faceted metadata in site search interfaces , 2002, CHI Extended Abstracts.

[20]  Andrei Broder,et al.  A taxonomy of web search , 2002, SIGF.

[21]  Wei-Ying Ma,et al.  Learning to cluster web search results , 2004, SIGIR '04.

[22]  Ryen W. White,et al.  Evaluating implicit feedback models using searcher simulations , 2005, TOIS.

[23]  Gerard Salton,et al.  A vector space model for automatic indexing , 1975, CACM.

[24]  Erik Duval,et al.  Towards the integration of a query mechanism and navigation for retrieval of data on multimedia documents , 1992, SIGF.

[25]  David A. Evans,et al.  Design and Evaluation of the CLARIT-TREC-2 System , 1993, TREC.

[26]  Edward A. Fox,et al.  Exploring digital libraries: integrating browsing, searching, and visualization , 2006, Proceedings of the 6th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '06).

[27]  Chris Buckley,et al.  Learning routing queries in a query zone , 1997, SIGIR '97.

[28]  Benjamin Rey,et al.  Generating query substitutions , 2006, WWW '06.

[29]  Kevin Li,et al.  Faceted metadata for image search and browsing , 2003, CHI '03.

[30]  Stephen E. Robertson,et al.  Okapi at TREC-3 , 1994, TREC.

[31]  Panagiotis G. Ipeirotis,et al.  Automatic Extraction of Useful Facet Hierarchies from Text Databases , 2008, 2008 IEEE 24th International Conference on Data Engineering.

[32]  John D. Lafferty,et al.  Model-based feedback in the language modeling approach to information retrieval , 2001, CIKM '01.

[33]  Makoto Iwayama,et al.  Relevance feedback with a small number of relevance judgements: incremental relevance feedback vs. document clustering , 2000, SIGIR '00.

[34]  Reinhard Rapp,et al.  The Computation of Word Associations: Comparing Syntagmatic and Paradigmatic Approaches , 2002, COLING.

[35]  Marti A. Hearst,et al.  Reexamining the cluster hypothesis: scatter/gather on retrieval results , 1996, SIGIR '96.

[36]  Susan T. Dumais,et al.  Optimizing search by showing results in context , 2001, CHI.

[37]  Oren Etzioni,et al.  Grouper: A Dynamic Clustering Interface to Web Search Results , 1999, Comput. Networks.

[38]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[39]  Ryen W. White,et al.  Exploratory Search: Beyond the Query-Response Paradigm , 2009, Exploratory Search: Beyond the Query-Response Paradigm.

[40]  Monica M. C. Schraefel,et al.  The evolving mSpace platform: leveraging the semantic web on the trail of the memex , 2005, HYPERTEXT '05.

[41]  Jock D. Mackinlay,et al.  Browsing vs. search: can we find a synergy? (panel session) , 1995, CHI '95.

[42]  Yoelle S. Maarek,et al.  Organizing documents to support browsing in digital libraries , 1995, SIGO.

[43]  J. J. Rocchio,et al.  Relevance feedback in information retrieval , 1971 .

[44]  Pattie Maes,et al.  Footprints: history-rich tools for information foraging , 1999, CHI '99.

[45]  Jacques Savoy.  Why do successful search systems fail for some topics , 2007, SAC '07.

[46]  Marcia J. Bates,et al.  The design of browsing and berrypicking techniques for the online search interface , 1989 .

[47]  ChengXiang Zhai,et al.  Learn from web search logs to organize search results , 2007, SIGIR.

[48]  Ryen W. White,et al.  Supporting Exploratory Search, Introduction, Special Issue, Communications of the ACM , 2006 .

[49]  Wei-Ying Ma,et al.  Probabilistic query expansion using query logs , 2002, WWW '02.

[50]  Mehran Sahami,et al.  A web-based kernel function for measuring the similarity of short text snippets , 2006, WWW '06.

[51]  Christopher Olston,et al.  ScentTrails: Integrating browsing and searching on the Web , 2003, TCHI.

[52]  Elad Yom-Tov,et al.  What makes a query difficult? , 2006, SIGIR.

[53]  Xiaojun Jenny Yuan,et al.  Supporting Multiple Information-Seeking Strategies in a Single System Framework , 2006, NAACL.

[54]  Filip Radlinski,et al.  Query chains: learning to rank from implicit feedback , 2005, KDD '05.

[55]  Gary Marchionini,et al.  Exploratory search , 2006, Commun. ACM.

[56]  Stephen E. Robertson,et al.  Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval , 1994, SIGIR '94.

[57]  Susan T. Dumais,et al.  Bringing order to the Web: automatically categorizing search results , 2000, CHI.

[58]  Elad Yom-Tov,et al.  Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval , 2005, SIGIR '05.

[59]  Ellen M. Voorhees,et al.  Overview of the TREC 2004 Robust Retrieval Track , 2004 .

[60]  Eric Brill,et al.  Improving web search ranking by incorporating user behavior information , 2006, SIGIR.

[61]  Daniela Rus,et al.  Journal of Graph Algorithms and Applications the Star Clustering Algorithm for Static and Dynamic Information Organization , 2022 .

[62]  Shourya Roy,et al.  A hierarchical monothetic document clustering algorithm for summarization and browsing search results , 2004, WWW '04.

[63]  ChengXiang Zhai,et al.  A study of methods for negative relevance feedback , 2008, SIGIR '08.

[64]  Jaime G. Carbonell,et al.  Retrieval and feedback models for blog feed search , 2008, SIGIR '08.

[65]  Qiang Yang,et al.  Mining Web Query Hierarchies from Clickthrough Data , 2007, AAAI.

[66]  Xuehua Shen,et al.  Context-sensitive information retrieval using implicit feedback , 2005, SIGIR '05.

[67]  Aviezri S. Fraenkel,et al.  Local Feedback in Full-Text Retrieval Systems , 1977, JACM.

[68]  Gary Marchionini,et al.  Exploratory search and HCI: designing and evaluating interfaces to support exploratory search interaction , 2007, CHI Extended Abstracts.

[69]  ChengXiang Zhai,et al.  Massive Implicit Feedback: Organizing Search Logs into Topic Maps for Collaborative Surfing , 2009, UIIR@SIGIR.

[70]  W. Bruce Croft,et al.  Deriving concept hierarchies from text , 1999, SIGIR '99.

[71]  Marti A. Hearst.  Clustering versus faceted categories for information exploration , 2006, Commun. ACM.

[72]  Stephen E. Robertson,et al.  Relevance weighting of search terms , 1976, J. Am. Soc. Inf. Sci..

[73]  Gerard Salton,et al.  Improving Retrieval Performance by Relevance Feedback , 1997 .

[74]  Steve Chien,et al.  Semantic similarity between search engine queries using temporal correlation , 2005, WWW '05.

[75]  Ji-Rong Wen,et al.  Clustering user queries of a search engine , 2001, WWW '01.

[76]  Thorsten Joachims,et al.  Evaluating Retrieval Performance Using Clickthrough Data , 2003, Text Mining.

[77]  Doug Beeferman,et al.  Agglomerative clustering of a search engine query log , 2000, KDD '00.

[78]  Yi Zhang,et al.  Fast exact maximum likelihood estimation for mixture of language models , 2007, Inf. Process. Manag..