Recommending Better Queries from Click-Through Data

  • Georges Dupret
  • Marcelo Mendoza
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3772)

Abstract

We present a method to help a user redefine a query based on past users experience, namely the click-through data as recorded by a search engine. Unlike most previous works, the method we propose attempts to recommend better queries rather than related queries. It is effective at identifying query specialization or sub-topics because it take into account the co-occurrence of documents in individual query sessions. It is also particularly simple to implement.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Georges Dupret
    • 1
  • Marcelo Mendoza
    • 2
  1. 1.Center for Web Research, Department of Computer ScienceUniversidad de Chile 
  2. 2.Department of Computer ScienceUniversidad de Valparaiso 

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