Detecting Session Boundaries to Personalize Search Using a Conceptual User Context

  • Mariam Daoud
  • Mohand Boughanem
  • Lynda Tamine-Lechani
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 39)

Most popular Web search engines are carachterized by “one size fits all” approaches. Involved retrieval models are based on the query-document matching without considering the user context, interests ang goals during the search. Personalized Web search tackles this problem by considering the user interests in the search process. In this chapter, we present a personalized search approach which adresses two key challenges. The first one is to model a conceptual user context across related queries using a session boundary detection. The second one is to personalize the search results using the user context. Our experimental evaluation was carried out using the TREC collection and shows that our approach is effective.

Keywords

Personalized search Session Boundaries Conceptual User Context search engine 

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Copyright information

© Springer Science+Business Media B.V 2009

Authors and Affiliations

  • Mariam Daoud
    • 1
  • Mohand Boughanem
    • 1
  • Lynda Tamine-Lechani
    • 1
  1. 1.IRIT, University of Paul SabatierToulouseFrance

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