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
Improving web site search using web server logs
CASCON '06 Proceedings of the 2006 conference of the Center for Advanced Studies on Collaborative research
Efficient query expansion with auxiliary data structures
Information Systems
Information Systems
Log-based indexing to improve web site search
Proceedings of the 2007 ACM symposium on Applied computing
Improving website search with server log analysis and multiple evidence combination
International Journal of Web and Grid Services
A survey of pre-retrieval query performance predictors
Proceedings of the 17th ACM conference on Information and knowledge management
The Combination and Evaluation of Query Performance Prediction Methods
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Query side evaluation: an empirical analysis of effectiveness and effort
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A case for improved evaluation of query difficulty prediction
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Effective pre-retrieval query performance prediction using similarity and variability evidence
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Mining Query Logs: Turning Search Usage Data into Knowledge
Foundations and Trends in Information Retrieval
Using statistical decision theory and relevance models for query-performance prediction
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
A comparison of user and system query performance predictions
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Predicting Query Performance by Query-Drift Estimation
ACM Transactions on Information Systems (TOIS)
A unified context model for web image retrieval
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Using a medical thesaurus to predict query difficulty
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Back to the roots: a probabilistic framework for query-performance prediction
Proceedings of the 21st ACM international conference on Information and knowledge management
Correlating medical-dependent query features with image retrieval models using association rules
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Combining pre-retrieval query quality predictors using genetic programming
Applied Intelligence
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Collection sizes, query rates, and the number of users of Web search engines are increasing. Therefore, there is continued demand for innovation in providing search services that meet user information needs. In this article, we propose new techniques to add additional terms to documents with the goal of providing more accurate searches. Our techniques are based on query association, where queries are stored with documents that are highly similar statistically. We show that adding query associations to documents improves the accuracy of Web topic finding searches by up to 7%, and provides an excellent complement to existing supplement techniques for site finding. We conclude that using document surrogates derived from query association is a valuable new technique for accurate Web searching. © 2005 Wiley Periodicals, Inc.