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» Studying Query Expansion Effectiveness
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SIGIR
2008
ACM
13 years 7 months ago
Query-drift prevention for robust query expansion
Pseudo-feedback-based automatic query expansion yields effective retrieval performance on average, but results in performance inferior to that of using the original query for many...
Liron Zighelnic, Oren Kurland
CIKM
2001
Springer
14 years 4 days 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
ECIR
2008
Springer
13 years 9 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
IRAL
2003
ACM
14 years 27 days ago
Issues in pre- and post-translation document expansion: untranslatable cognates and missegmented words
Query expansion by pseudo-relevance feedback is a well-established technique in both mono- and cross- lingual information retrieval, enriching and disambiguating the typically ter...
Gina-Anne Levow
CIKM
2007
Springer
14 years 1 months ago
Extending query translation to cross-language query expansion with markov chain models
Dictionary-based approaches to query translation have been widely used in Cross-Language Information Retrieval (CLIR) experiments. Using these approaches, translation has been not...
Guihong Cao, Jianfeng Gao, Jian-Yun Nie, Jing Bai