Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Overview of the second text retrieval conference (TREC-2)
TREC-2 Proceedings of the second conference on Text retrieval conference
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Readings in information retrieval
Journal of the American Society for Information Science
Improved algorithms for topic distillation in a hyperlinked environment
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Combining multiple evidence from different types of thesaurus for query expansion
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion method based on word contribution (poster abstract)
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Relevance and reinforcement in interactive browsing
Proceedings of the ninth international conference on Information and knowledge management
A probabilistic model of information retrieval: development and comparative experiments
Information Processing and Management: an International Journal
An information-theoretic approach to automatic query expansion
ACM Transactions on Information Systems (TOIS)
Effective ranking with arbitrary passages
Journal of the American Society for Information Science and Technology
Selecting expansion terms in automatic query expansion
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Flexible pseudo-relevance feedback using optimization tables
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval
Modern Information Retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Higher precision for two-word queries
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Query association for effective retrieval
Proceedings of the eleventh international conference on Information and knowledge management
ACM SIGIR Forum
Query type classification for web document retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Query expansion using associated queries
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Efficient and self-tuning incremental query expansion for top-k query processing
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Poison pills: harmful relevant documents in feedback
Proceedings of the 14th ACM international conference on Information and knowledge management
ACM Transactions on Asian Language Information Processing (TALIP)
A Novel Context Matching Based Technique for Web Document Retrieval
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Keyphrase extraction-based query expansion in digital libraries
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Efficient query expansion with auxiliary data structures
Information Systems
A review of ontology based query expansion
Information Processing and Management: an International Journal
Query expansion with terms selected using lexical cohesion analysis of documents
Information Processing and Management: an International Journal
A new approach for evaluating query expansion: query-document term mismatch
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Exploiting web 2.0 forallknowledge-based information retrieval
Proceedings of the ACM first Ph.D. workshop in CIKM
A knowledge-based search engine powered by wikipedia
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Efficient top-k querying over social-tagging networks
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Making SENSE: socially enhanced search and exploration
Proceedings of the VLDB Endowment
On the number of terms used in automatic query expansion
Information Retrieval
Learning social tag relevance by neighbor voting
IEEE Transactions on Multimedia
Sub-Word Indexing and Blind Relevance Feedback for English, Bengali, Hindi, and Marathi IR
ACM Transactions on Asian Language Information Processing (TALIP)
On the query reformulation technique for effective MEDLINE document retrieval
Journal of Biomedical Informatics
Classifying and filtering blind feedback terms to improve information retrieval effectiveness
RIAO '10 Adaptivity, Personalization and Fusion of Heterogeneous Information
Concept-Based Information Retrieval Using Explicit Semantic Analysis
ACM Transactions on Information Systems (TOIS)
Query expansion for language modeling using sentence similarities
IRFC'11 Proceedings of the Second international conference on Multidisciplinary information retrieval facility
A Survey of Automatic Query Expansion in Information Retrieval
ACM Computing Surveys (CSUR)
Interactive exploratory search for multi page search results
Proceedings of the 22nd international conference on World Wide Web
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In information retrieval, queries can fail to find documents due to mismatch in terminology. Query expansion is a well-known technique addressing this problem, where additional query terms are automatically chosen from highly ranked documents, and it has been shown to be effective at improving query performance. However, current techniques for query expansion use fixed values for key parameters, determined by tuning on test collections. In this paper we show that these parameters may not be generally applicable, and more significantly that the assumption that the same parameter settings can be used for all queries is invalid. Using detailed experiments with two test collections, we demonstrate that new methods for choosing parameters must be found. However, our experiments also demonstrate that there is considerable further scope for improvement to effectiveness through better query expansion.