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. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Sun, B., Liu, P., & Zheng, Y. (2008). Short query refinement with query derivation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4993 LNCS, pp. 620–625). https://doi.org/10.1007/978-3-540-68636-1_73
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