Generation of Query-Biased Concepts Using Content and Structure for Query Reformulation
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- Chang Y., Wang J., Lalmas M. (2008) Generation of Query-Biased Concepts Using Content and Structure for Query Reformulation. In: Kapetanios E., Sugumaran V., Spiliopoulou M. (eds) Natural Language and Information Systems. NLDB 2008. Lecture Notes in Computer Science, vol 5039. Springer, Berlin, Heidelberg
This paper proposes an approach for query reformulation based on the generation of appropriate query-biased concepts. Query-biased concepts are generated from retrieved documents using their content and structure. In this paper, we focus on three aspects of the concept generation; the selection of query-biased concepts from retrieved documents, the effect of the structure, and the number of retrieved documents used for generating the concepts.
Keywordsquery reformulation feature extraction concept generation structure relevance feedback
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