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Representation and Evolution of User Profile in Information Retrieval Based on Bayesian Approach

  • Farida Achemoukh
  • Rachid Ahmed-Ouamer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8502)

Abstract

In the web personalization how to represent user profile is one of the key issues. The user profile refers to his/her interests which change over time. This paper, presents a personalized search approach for representation and evolution of the user profile, based on dynamic bayesian network. The theoretical framework provided by these networks allows to infer and to evolve the user profile from his /her interactions with the search system. An experimental evaluation was designed to appraise the exploitation impact of the user profile defined by his/her interests on the search results relevance.

Keywords

Personalized Search Short term user profile long term user profile Dynamic Bayesian Network 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Farida Achemoukh
    • 1
  • Rachid Ahmed-Ouamer
    • 1
  1. 1.LARI LaboratoryMouloud Mammeri UniversityTizi-OuzouAlgeria

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