Evaluation of Personalized Social Ranking Functions of Information Retrieval

  • Mohamed Reda Bouadjenek
  • Amyn Bennamane
  • Hakim Hacid
  • Mokrane Bouzeghoub
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7977)

Abstract

There is currently a number of interesting research works performed in the area of bridging the gap between Social Networks and Information Retrieval (IR). This is mainly done by enhancing the IR process with social information. Hence, many approaches have been proposed to improve the ranking process by personalizing it using social features. In this paper, we review some of these ranking functions.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Mohamed Reda Bouadjenek
    • 1
  • Amyn Bennamane
    • 2
  • Hakim Hacid
    • 3
  • Mokrane Bouzeghoub
    • 1
  1. 1.PRiSM LaboratoryVersailles UniversityFrance
  2. 2.Dell Innovation HouseDublinIreland
  3. 3.SideTradeBoulogne-BillancourtFrance

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