A Survey of Automatic Query Expansion in Information Retrieval

The relative ineffectiveness of information retrieval systems is largely caused by the inaccuracy with which a query formed by a few keywords models the actual user information need. One well known method to overcome this limitation is automatic query expansion (AQE), whereby the user’s original query is augmented by new features with a similar meaning. AQE has a long history in the information retrieval community but it is only in the last years that it has reached a level of scientific and experimental maturity, especially in laboratory settings such as TREC. This survey presents a unified view of a large number of recent approaches to AQE that leverage various data sources and employ very different principles and techniques. The following questions are addressed. Why is query expansion so important to improve search effectiveness? What are the main steps involved in the design and implementation of an AQE component? What approaches to AQE are available and how do they compare? Which issues must still be resolved before AQE becomes a standard component of large operational information retrieval systems (e.g., search engines)?

[1]  M. E. Maron,et al.  On Relevance, Probabilistic Indexing and Information Retrieval , 1960, JACM.

[2]  Michael Lesk,et al.  Word-word associations in document retrieval systems , 1969 .

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

[4]  Jack Minker,et al.  An evaluation of query expansion by the addition of clustered terms for a document retrieval system , 1972, Inf. Storage Retr..

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

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

[7]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[8]  C. J. van Rijsbergen,et al.  An Evaluation of feedback in Document Retrieval using Co‐Occurrence Data , 1978, J. Documentation.

[9]  Tamas E. Doszkocs,et al.  AID, an Associative Interactive Dictionary for online searching , 1978 .

[10]  Frederick Jelinek,et al.  Interpolated estimation of Markov source parameters from sparse data , 1980 .

[11]  Martin F. Porter,et al.  An algorithm for suffix stripping , 1997, Program.

[12]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[13]  John R. Anderson.  A spreading activation theory of memory. , 1983 .

[14]  S. E. Robertson,et al.  On Relevance weight estimation and Query Expansion , 1986, J. Documentation.

[15]  Vijay V. Raghavan,et al.  On modeling of information retrieval concepts in vector spaces , 1987, TODS.

[16]  Susan T. Dumais,et al.  The vocabulary problem in human-system communication , 1987, CACM.

[17]  Kenneth Ward Church,et al.  Word Association Norms, Mutual Information, and Lexicography , 1989, ACL.

[18]  Richard A. Harshman,et al.  Indexing by Latent Semantic Analysis , 1990, J. Am. Soc. Inf. Sci..

[19]  Gerard Salton,et al.  Improving retrieval performance by relevance feedback , 1997, J. Am. Soc. Inf. Sci..

[20]  George A. Miller,et al.  Introduction to WordNet: An On-line Lexical Database , 1990 .

[21]  T. Landauer,et al.  Indexing by Latent Semantic Analysis , 1990 .

[22]  Stephen E. Robertson,et al.  On Term Selection for Query Expansion , 1991, J. Documentation.

[23]  Donna K. Harman,et al.  Relevance Feedback and Other Query Modification Techniques , 1992, Information retrieval (Boston).

[24]  W. Bruce Croft,et al.  Information filtering and information retrieval: two sides of the same coin? , 1992, CACM.

[25]  W. Bruce Croft,et al.  Lexical ambiguity and information retrieval , 1992, TOIS.

[26]  Carolyn J. Crouch,et al.  Experiments in automatic statistical thesaurus construction , 1992, SIGIR '92.

[27]  Efthimis N. Efthimiadis,et al.  A user-centred evaluation of ranking algorithms for interactive query expansion , 1993, SIGIR.

[28]  Hans-Peter Frei,et al.  Concept based query expansion , 1993, SIGIR.

[29]  Ellen M. Voorhees,et al.  Using WordNet to disambiguate word senses for text retrieval , 1993, SIGIR.

[30]  Tomasz Imielinski,et al.  Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.

[31]  Susan Jones.  A thesaurus data model for an intelligent retrieval system , 1993, J. Inf. Sci..

[32]  Nicholas J. Belkin,et al.  Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval , 1997, SIGIR 1997.

[33]  Robert Krovetz,et al.  Viewing morphology as an inference process , 1993, Artif. Intell..

[34]  Ian H. Witten,et al.  Managing Gigabytes: Compressing and Indexing Documents and Images , 1999 .

[35]  James Allan,et al.  Automatic Query Expansion Using SMART: TREC 3 , 1994, TREC.

[36]  Ellen M. Voorhees,et al.  Query expansion using lexical-semantic relations , 1994, SIGIR '94.

[37]  Mark Sanderson,et al.  Word sense disambiguation and information retrieval , 1994, SIGIR '94.

[38]  Jan O. Pedersen.  Information Retrieval Based on Word Senses , 1995 .

[39]  Micheline Hancock-Beaulieu,et al.  Interactive thesaurus navigation: intelligence rules ok? , 1995 .

[40]  Stephen E. Robertson,et al.  Interactive Thesaurus Navigation: Intelligence Rules OK? , 1995, J. Am. Soc. Inf. Sci..

[41]  W. Bruce Croft,et al.  Query expansion using local and global document analysis , 1996, SIGIR '96.

[42]  James Allan,et al.  Incremental relevance feedback for information filtering , 1996, SIGIR '96.

[43]  David A. Hull.  Stemming Algorithms: A Case Study for Detailed Evaluation , 1996, J. Am. Soc. Inf. Sci..

[44]  Hinrich Schütze,et al.  A Cooccurrence-Based Thesaurus and Two Applications to Information Retrieval , 1994, Inf. Process. Manag..

[45]  W. Bruce Croft,et al.  Phrasal translation and query expansion techniques for cross-language information retrieval , 1997, SIGIR '97.

[46]  M. F. Porter,et al.  An algorithm for suffix stripping , 1997 .

[47]  Larry Fitzpatrick,et al.  Automatic feedback using past queries: social searching? , 1997, SIGIR '97.

[48]  Jaana Kekäläinen,et al.  The impact of query structure and query expansion on retrieval performance , 1998, SIGIR '98.

[49]  Takenobu Tokunaga,et al.  The Use of WordNet in Information Retrieval , 1998, WordNet@ACL/COLING.

[50]  Julio Gonzalo,et al.  Indexing with WordNet synsets can improve text retrieval , 1998, WordNet@ACL/COLING.

[51]  Chris Buckley,et al.  Improving automatic query expansion , 1998, SIGIR '98.

[52]  David Bodoff,et al.  Partial Coordination. I. The Best of Pre-Coordination and Post-Coordination , 1998, J. Am. Soc. Inf. Sci..

[53]  Stephen E. Robertson,et al.  Okapi at TREC-7: Automatic Ad Hoc, Filtering, VLC and Interactive , 1998, TREC.

[54]  W. Bruce Croft,et al.  Resolving ambiguity for cross-language retrieval , 1998, SIGIR '98.

[55]  Ellen M. Voorhees,et al.  Overview of the Seventh Text REtrieval Conference , 1998 .

[56]  David Bodoff,et al.  Partial coordination. I. The best of pre-coordination and post-coordination , 1998 .

[57]  Amit Singhal,et al.  Document expansion for speech retrieval , 1999, SIGIR '99.

[58]  Ellen M. Voorhees,et al.  Overview of the seventh text retrieval conference (trec-7) [on-line] , 1999 .

[59]  Eric Horvitz,et al.  Patterns of search: analyzing and modeling Web query refinement , 1999 .

[60]  Takenobu Tokunaga,et al.  Combining multiple evidence from different types of thesaurus for query expansion , 1999, SIGIR '99.

[61]  Jianying Wang,et al.  A corpus analysis approach for automatic query expansion and its extension to multiple databases , 1999, TOIS.

[62]  Ian H. Witten,et al.  Managing gigabytes (2nd ed.): compressing and indexing documents and images , 1999 .

[63]  Karen Sparck Jones,et al.  Okapi at TREC{7: automatic ad hoc, ltering, VLC and interactive track , 1999 .

[64]  Haym Hirsh,et al.  Improving Short-Text Classification using Unlabeled Data for Classification Problems , 2000, ICML.

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

[66]  Stephen E. Robertson,et al.  Microsoft Cambridge at TREC-9: Filtering Track , 2000, TREC.

[67]  Haym Hirsh,et al.  Improving Short Text Classification Using Unlabeled Background Knowledge , 2000, ICML 2000.

[68]  W. Bruce Croft,et al.  Improving the effectiveness of information retrieval with local context analysis , 2000, TOIS.

[69]  Gareth J. F. Jones,et al.  Applying summarization techniques for term selection in relevance feedback , 2001, SIGIR '01.

[70]  John D. Lafferty,et al.  A study of smoothing methods for language models applied to Ad Hoc information retrieval , 2001, SIGIR '01.

[71]  Javed A. Aslam,et al.  Relevance score normalization for metasearch , 2001, CIKM '01.

[72]  Sanda M. Harabagiu,et al.  The Role of Lexico-Semantic Feedback in Open-Domain Textual Question-Answering , 2001, ACL.

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

[74]  Claudio Carpineto,et al.  An information-theoretic approach to automatic query expansion , 2001, TOIS.

[75]  Claudio Carpineto,et al.  FUB at TREC-10 Web Track: A Probabilistic Framework for Topic Relevance Term Weighting , 2001, TREC.

[76]  James Mayfield,et al.  Comparing cross-language query expansion techniques by degrading translation resources , 2002, SIGIR '02.

[77]  Eitan Farchi,et al.  Automatic query wefinement using lexical affinities with maximal information gain , 2002, SIGIR '02.

[78]  Stephen E. Robertson,et al.  Microsoft Cambridge at TREC 2002: Filtering Track , 2002, TREC.

[79]  Chun Zhang,et al.  Storing and querying ordered XML using a relational database system , 2002, SIGMOD '02.

[80]  Zhenyu Liu,et al.  Textual Document Indexing and Retrieval via Knowledge Sources and Data Mining , 2002 .

[81]  Claudio Carpineto,et al.  Improving retrieval feedback with multiple term-ranking function combination , 2002, TOIS.

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

[83]  W. Bruce Croft,et al.  Quantifying query ambiguity , 2002 .

[84]  Ehud Rivlin,et al.  Placing search in context: the concept revisited , 2002, TOIS.

[85]  Justin Zobel,et al.  When query expansion fails , 2003, SIGIR '03.

[86]  Yen-Jen Oyang,et al.  Relevant term suggestion in interactive web search based on contextual information in query session logs , 2003, J. Assoc. Inf. Sci. Technol..

[87]  Hugh E. Williams,et al.  Query expansion using associated queries , 2003, CIKM '03.

[88]  Gianni Amati,et al.  Probability models for information retrieval based on divergence from randomness , 2003 .

[89]  Wei-Ying Ma,et al.  Query Expansion by Mining User Logs , 2003, IEEE Trans. Knowl. Data Eng..

[90]  Wessel Kraaij,et al.  Embedding Web-Based Statistical Translation Models in Cross-Language Information Retrieval , 2003, CL.

[91]  Claudio Carpineto,et al.  Comparing Weighting Models for Monolingual Information Retrieval , 2003, CLEF.

[92]  Wei-Ying Ma,et al.  Improving pseudo-relevance feedback in web information retrieval using web page segmentation , 2003, WWW '03.

[93]  Ian Ruthven,et al.  Re-examining the potential effectiveness of interactive query expansion , 2003, SIGIR.

[94]  Mounia Lalmas,et al.  A survey on the use of relevance feedback for information access systems , 2003, The Knowledge Engineering Review.

[95]  Ali Jaoua,et al.  Query expansion using fuzzy association rules between terms , 2003 .

[96]  Roberto Navigli,et al.  An analysis of ontology-based query expansion strategies , 2003 .

[97]  Raymond Y. K. Lau,et al.  Belief revision for adaptive information retrieval , 2004, SIGIR '04.

[98]  Gerhard Weikum,et al.  Top-k Query Evaluation with Probabilistic Guarantees , 2004, VLDB.

[99]  Peretz Shoval,et al.  Information Filtering: Overview of Issues, Research and Systems , 2001, User Modeling and User-Adapted Interaction.

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

[101]  Erich J. Neuhold,et al.  Increasing the customer's choice: query expansion based on the layer-seeds method and its application in e-commerce , 2004, IEEE International Conference on e-Technology, e-Commerce and e-Service, 2004. EEE '04. 2004.

[102]  Claudio Carpineto,et al.  Query Difficulty, Robustness, and Selective Application of Query Expansion , 2004, ECIR.

[103]  C. Buckley,et al.  Reliable Information Access Final Workshop Report , 2004 .

[104]  Turid Hedlund,et al.  Dictionary-Based Cross-Language Information Retrieval: Problems, Methods, and Research Findings , 2001, Information Retrieval.

[105]  Fabio Crestani,et al.  Application of Spreading Activation Techniques in Information Retrieval , 1997, Artificial Intelligence Review.

[106]  Luis Gravano,et al.  Learning to find answers to questions on the Web , 2004, TOIT.

[107]  Jimmy J. Lin,et al.  What Works Better for Question Answering: Stemming or Morphological Query Expansion? , 2004 .

[108]  Kui-Lam Kwok,et al.  TREC 2004 Robust Track Experiments Using PIRCS , 2004, TREC.

[109]  Wei-Ying Ma,et al.  Optimizing web search using web click-through data , 2004, CIKM '04.

[110]  Justin Zobel,et al.  Techniques for Efficient Query Expansion , 2004, SPIRE.

[111]  Justin Zobel,et al.  Questioning Query Expansion: An Examination of Behaviour and Parameters , 2004, ADC.

[112]  Djemel Ziou,et al.  Image Retrieval from the World Wide Web: Issues, Techniques, and Systems , 2004, CSUR.

[113]  Claudio Carpineto,et al.  Concept data analysis - theory and applications , 2004 .

[114]  Jean Véronis,et al.  HyperLex: lexical cartography for information retrieval , 2004, Comput. Speech Lang..

[115]  Fabrizio Sebastiani,et al.  Distributional term representations: an experimental comparison , 2004, CIKM '04.

[116]  S. Harabagiu,et al.  Strategies for Advanced Question Answering , 2004, Workshop On Pragmatics Of Question Answering.

[117]  Mark Sanderson,et al.  Universities of Leeds, Sheffield and York http://eprints.whiterose.ac.uk/ , 2022 .

[118]  Reiner Kraft,et al.  Mining anchor text for query refinement , 2004, WWW '04.

[119]  Clement T. Yu,et al.  An effective approach to document retrieval via utilizing WordNet and recognizing phrases , 2004, SIGIR '04.

[120]  Donna K. Harman,et al.  The NRRC reliable information access (RIA) workshop , 2004, SIGIR '04.

[121]  José Carlos Cortizo,et al.  The Role of Word Sense Disambiguation in Automated Text Categorization , 2005, NLDB.

[122]  Bodo Billerbeck,et al.  Efficient query expansion , 2005 .

[123]  Ryen W. White,et al.  A study of factors affecting the utility of implicit relevance feedback , 2005, SIGIR '05.

[124]  Carmel Domshlak,et al.  Better than the real thing?: iterative pseudo-query processing using cluster-based language models , 2005, SIGIR '05.

[125]  Jimmy J. Lin,et al.  Assessing the term independence assumption in blind relevance feedback , 2005, SIGIR '05.

[126]  Jian-Yun Nie,et al.  Query expansion using term relationships in language models for information retrieval , 2005, CIKM '05.

[127]  Kevyn Collins-Thompson,et al.  Query expansion using random walk models , 2005, CIKM '05.

[128]  Paola Velardi,et al.  Structural semantic interconnections: a knowledge-based approach to word sense disambiguation , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[129]  Gerhard Weikum,et al.  Efficient and self-tuning incremental query expansion for top-k query processing , 2005, SIGIR '05.

[130]  Magnus Sahlgren,et al.  An Introduction to Random Indexing , 2005 .

[131]  Tetsuya Sakai,et al.  Flexible pseudo-relevance feedback via selective sampling , 2005, TALIP.

[132]  Jun Cai,et al.  Automatic Query Refinement Using Mined Semantic Relations , 2005, International Workshop on Challenges in Web Information Retrieval and Integration.

[133]  Dawid Weiss,et al.  A concept-driven algorithm for clustering search results , 2005, IEEE Intelligent Systems.

[134]  Justin Zobel,et al.  Document expansion versus query expansion for ad-hoc retrieval , 2005 .

[135]  Jacques Savoy,et al.  Comparative study of monolingual and multilingual search models for use with asian languages , 2005, TALIP.

[136]  Lee-Feng Chien,et al.  Automatic training corpora acquisition through Web mining , 2005, The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05).

[137]  ChengXiang Zhai,et al.  Active feedback in ad hoc information retrieval , 2005, SIGIR '05.

[138]  Jian-Yun Nie,et al.  Context-Dependent Term Relations for Information Retrieval , 2006, EMNLP.

[139]  Olga Vechtomova,et al.  Elicitation and use of relevance feedback information , 2006, Inf. Process. Manag..

[140]  Ramesh Nallapati,et al.  Evaluating the Quality of Query Refinement Suggestions in Information Retrieval , 2006 .

[141]  Ingmar Weber,et al.  Type less, find more: fast autocompletion search with a succinct index , 2006, SIGIR.

[142]  Zhiguo Gong,et al.  Multi-term Web Query Expansion Using WordNet , 2006, DEXA.

[143]  Min Song,et al.  Keyphrase extraction-based query expansion in digital libraries , 2006, Proceedings of the 6th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '06).

[144]  Fernando Diaz,et al.  Improving the estimation of relevance models using large external corpora , 2006, SIGIR.

[145]  Tat-Seng Chua,et al.  Mining dependency relations for query expansion in passage retrieval , 2006, SIGIR.

[146]  Jun Guo,et al.  Improving Retrieval Performance by Global Analysis , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

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

[148]  Iadh Ounis,et al.  Query reformulation using automatically generated query concepts from a document space , 2006, Inf. Process. Manag..

[149]  James Allan,et al.  Real-time Query Expansion in Relevance Models , 2006 .

[150]  Naren Ramakrishnan,et al.  Interacting with Web Hierarchies , 2006, IT Professional.

[151]  Min Song,et al.  Integration of association rules and ontologies for semantic query expansion , 2007, Data Knowl. Eng..

[152]  Jian-Yun Nie,et al.  Using query contexts in information retrieval , 2007, SIGIR.

[153]  Barry Smyth,et al.  Mobile content enrichment , 2007, IUI '07.

[154]  Pabitra Mitra,et al.  Personalized Web Search Using Probabilistic Query Expansion , 2007, 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops.

[155]  W. Bruce Croft,et al.  Modeling Term Associations for Ad-Hoc Retrieval Performance Within Language Modeling Framework , 2007, ECIR.

[156]  Filip Radlinski,et al.  Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search , 2007, TOIS.

[157]  Eric Nyberg,et al.  Semantic Extensions of the Ephyra QA System for TREC 2007 , 2007, TREC.

[158]  W. Bruce Croft,et al.  Latent concept expansion using markov random fields , 2007, SIGIR.

[159]  Rong Yan,et al.  Semantic concept-based query expansion and re-ranking for multimedia retrieval , 2007, ACM Multimedia.

[160]  Philip Koehn,et al.  Statistical Machine Translation , 2010, EAMT.

[161]  Kevyn Collins-Thompson,et al.  Estimation and use of uncertainty in pseudo-relevance feedback , 2007, SIGIR.

[162]  P. Smith,et al.  A review of ontology based query expansion , 2007, Inf. Process. Manag..

[163]  Ingmar Weber,et al.  Efficient interactive query expansion with complete search , 2007, CIKM '07.

[164]  Kotagiri Ramamohanarao,et al.  Query Expansion Using a Collection Dependent Probabilistic Latent Semantic Thesaurus , 2007, PAKDD.

[165]  Iadh Ounis,et al.  Combining fields for query expansion and adaptive query expansion , 2007, Inf. Process. Manag..

[166]  Carmel Domshlak,et al.  Towards robust query expansion: model selection in the language modeling framework , 2007, SIGIR.

[167]  Jianfeng Gao,et al.  Extending query translation to cross-language query expansion with markov chain models , 2007, CIKM '07.

[168]  Personalized Web Search Using Probabilistic Query Expansion , 2007 .

[169]  Shumeet Baluja,et al.  The role of context in query input: using contextual signals to complete queries on mobile devices , 2007, Mobile HCI.

[170]  Khalid Al-Kofahi,et al.  A new approach for evaluating query expansion: query-document term mismatch , 2007, SIGIR.

[171]  Xiaoying Gao,et al.  Exploiting underrepresented query aspects for automatic query expansion , 2007, KDD '07.

[172]  Yi Zhang,et al.  Incorporating Diversity and Density in Active Learning for Relevance Feedback , 2007, ECIR.

[173]  Paul-Alexandru Chirita,et al.  Personalized query expansion for the web , 2007, SIGIR.

[174]  Yi Liu,et al.  Statistical Machine Translation for Query Expansion in Answer Retrieval , 2007, ACL.

[175]  Craig MacDonald,et al.  Expertise drift and query expansion in expert search , 2007, CIKM '07.

[176]  Ian H. Witten,et al.  A knowledge-based search engine powered by wikipedia , 2007, CIKM '07.

[177]  Massimo Melucci,et al.  A basis for information retrieval in context , 2008, TOIS.

[178]  Chao Li,et al.  A Query Expansion Algorithm Based on Phrases Semantic Similarity , 2008, 2008 International Symposiums on Information Processing.

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

[180]  Miles Efron,et al.  Query expansion and dimensionality reduction: Notions of optimality in Rocchio relevance feedback and latent semantic indexing , 2008, Inf. Process. Manag..

[181]  Djoerd Hiemstra,et al.  A survey of pre-retrieval query performance predictors , 2008, CIKM '08.

[182]  Jaime G. Carbonell,et al.  Document Representation and Query Expansion Models for Blog Recommendation , 2008, ICWSM.

[183]  Ghassan Kanaan,et al.  Interactive and Automatic Query Expansion: A Comparative Study with an Application on Arabic , 2008 .

[184]  Dik Lun Lee,et al.  Re-examining the effects of adding relevance information in a relevance feedback environment , 2008, Inf. Process. Manag..

[185]  James Allan,et al.  A cluster-based resampling method for pseudo-relevance feedback , 2008, SIGIR '08.

[186]  Stephen E. Robertson,et al.  Selecting good expansion terms for pseudo-relevance feedback , 2008, SIGIR '08.

[187]  Andreas Dengel,et al.  Query expansion using gaze-based feedback on the subdocument level , 2008, SIGIR '08.

[188]  Gerhard Weikum,et al.  Exploiting correlated keywords to improve approximate information filtering , 2008, SIGIR '08.

[189]  Claudio Carpineto,et al.  FUB at TREC 2008 Relevance Feedback Track: Extending Rocchio with Distributional Term Analysis , 2008, TREC.

[190]  Atsushi Fujii.  Modeling anchor text and classifying queries to enhance web document retrieval , 2008, WWW.

[191]  Milad Shokouhi,et al.  Effective query expansion for federated search , 2009, SIGIR.

[192]  Arantxa Otegi,et al.  CLEF 2009 Ad Hoc Track Overview: Robust - WSD Task , 2009, CLEF.

[193]  ChengXiang Zhai,et al.  Adaptive relevance feedback in information retrieval , 2009, CIKM.

[194]  Viviane Pereira Moreira,et al.  BBK-UFRGS@CLEF2009: Query Expansion of Geographic Place Names , 2009, CLEF.

[195]  Meng Wang,et al.  Visual query suggestion , 2009, ACM Multimedia.

[196]  Yang Xu,et al.  Query dependent pseudo-relevance feedback based on wikipedia , 2009, SIGIR.

[197]  Iadh Ounis,et al.  Finding good feedback documents , 2009, CIKM.

[198]  Claudio Carpineto,et al.  Full-Subtopic Retrieval with Keyphrase-Based Search Results Clustering , 2009, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology.

[199]  On the Tip of My Thought: Playing the Guillotine Game , 2009, IJCAI.

[200]  Haofen Wang,et al.  Efficient query expansion for advertisement search , 2009, SIGIR.

[201]  Arantxa Otegi,et al.  Elhuyar-IXA: Semantic Relatedness and Cross-lingual Passage Retrieval , 2009, CLEF.

[202]  Olga Vechtomova.  Query Expansion for Information Retrieval , 2009, Encyclopedia of Database Systems.

[203]  Dawid Weiss,et al.  A survey of Web clustering engines , 2009, CSUR.

[204]  Olga Vechtomova.  Query Expansion for Information Retrieval , 2009 .

[205]  Roberto Navigli,et al.  Word sense disambiguation: A survey , 2009, CSUR.

[206]  Kevyn Collins-Thompson,et al.  Reducing the risk of query expansion via robust constrained optimization , 2009, CIKM.

[207]  Iadh Ounis,et al.  Studying Query Expansion Effectiveness , 2009, ECIR.

[208]  Andrei Z. Broder,et al.  Online expansion of rare queries for sponsored search , 2009, WWW '09.

[209]  Milad Shokouhi,et al.  Query Expansion Using External Evidence , 2009, ECIR.

[210]  Christopher D. Manning,et al.  Introduction to Information Retrieval , 2010, J. Assoc. Inf. Sci. Technol..

[211]  Zhendong Niu,et al.  Concept Based Query Expansion , 2013, 2013 Ninth International Conference on Semantics, Knowledge and Grids.

[212]  Johanna Enberg,et al.  Query Expansion , 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..