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» A framework for selective query expansion
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CIKM
2004
Springer
13 years 10 months ago
A framework for selective query expansion
Query expansion is a well-known technique that has been shown to improve average retrieval performance. This technique has not been used in many operational systems because of the...
Stephen Cronen-Townsend, Yun Zhou, W. Bruce Croft
CIKM
2001
Springer
13 years 9 months ago
Automatic Query Expansion Based on Divergence
In this paper we are mainly concerned with discussion of a formal model, based on the basic concept of divergence from information theory, for automatic query expansion. The basic...
D. Cai, C. J. van Rijsbergen, Joemon M. Jose
CIKM
2009
Springer
13 years 11 months ago
Reducing the risk of query expansion via robust constrained optimization
We introduce a new theoretical derivation, evaluation methods, and extensive empirical analysis for an automatic query expansion framework in which model estimation is cast as a r...
Kevyn Collins-Thompson
CIKM
2009
Springer
13 years 11 months ago
Mining linguistic cues for query expansion: applications to drug interaction search
Given a drug under development, what are other drugs or biochemical compounds that it might interact with? Early answers to this question, by mining the literature, are valuable f...
Sheng Guo, Naren Ramakrishnan
ECIR
2008
Springer
13 years 6 months ago
Robust Query-Specific Pseudo Feedback Document Selection for Query Expansion
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-ranked documents are selected as feedback to build a new expansion query model. ...
Qiang Huang, Dawei Song, Stefan M. Rüger