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Short Query Refinement with Query Derivation

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Information Retrieval Technology (AIRS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4993))

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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.

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References

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Authors and Affiliations

Authors

Editor information

Hang Li Ting Liu Wei-Ying Ma Tetsuya Sakai Kam-Fai Wong Guodong Zhou

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© 2008 Springer-Verlag Berlin Heidelberg

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Sun, B., Liu, P., Zheng, Y. (2008). Short Query Refinement with Query Derivation. In: Li, H., Liu, T., Ma, WY., Sakai, T., Wong, KF., Zhou, G. (eds) Information Retrieval Technology. AIRS 2008. Lecture Notes in Computer Science, vol 4993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68636-1_73

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  • DOI: https://doi.org/10.1007/978-3-540-68636-1_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68633-0

  • Online ISBN: 978-3-540-68636-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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