Short query refinement with query derivation

Authors:
Bin Sun;Pei Liu;Ying Zheng
Affiliations:
Institute of Computational Linguistics, Peking University, Beijing, China;Institute of Computational Linguistics, Peking University, Beijing, China;Institute of Computational Linguistics, Peking University, Beijing, China
Venue:
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Year:
2008

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Abstract

In this paper we present a method for short query refinement. The method includes a query retrieval model that constructs multiple derived queries for the user's query, where derived queries denote a set of queries that are closely related to the query submitted by the user. Derived queries can be efficiently obtained using the indexing and retrieval of a small-unit index, which has index terms that are commonly used words and word senses. Each of the derived queries can be associated with a rank value according to its similarity to the user's search query. Derived queries are useful for improving the current query refinement method and for constructing the final results.