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WWW
2002
ACM

Probabilistic query expansion using query logs

14 years 3 months ago
Probabilistic query expansion using query logs
Query expansion has long been suggested as an effective way to resolve the short query and word mismatching problems. A number of query expansion methods have been proposed in traditional information retrieval. However, these previous methods do not take into account the specific characteristics of web searching; in particular, of the availability of large amount of user interaction information recorded in the web query logs. In this study, we propose a new method for query expansion based on query logs. The central idea is to extract probabilistic correlations between query terms and document terms by analyzing query logs. These correlations are then used to select high-quality expansion terms for new queries. The experimental results show that our log-based probabilistic query expansion method can greatly improve the search performance and has several advantages over other existing methods. Categories and Subject Descriptors H.2.8 [Database Management]: Database Applications ? Data ...
Hang Cui, Ji-Rong Wen, Jian-Yun Nie, Wei-Ying Ma
Added 22 Nov 2009
Updated 22 Nov 2009
Type Conference
Year 2002
Where WWW
Authors Hang Cui, Ji-Rong Wen, Jian-Yun Nie, Wei-Ying Ma
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