Generation of Query-Biased Concepts Using Content and Structure for Query Reformulation

  • Youjin Chang
  • Jun Wang
  • Mounia Lalmas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5039)


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.


query reformulation feature extraction concept generation structure relevance feedback 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Youjin Chang
    • 1
  • Jun Wang
    • 1
  • Mounia Lalmas
    • 1
  1. 1.Queen Mary, University of LondonLondonUK

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