A Rule-Based Recommender System for Online Discussion Forums

  • Fabian Abel
  • Ig Ibert Bittencourt
  • Nicola Henze
  • Daniel Krause
  • Julita Vassileva
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5149)

Abstract

In this paper we present a rule-based personalization framework for encapsulating and combining personalization algorithms known from adaptive hypermedia and recommender systems. We show how this personalization framework can be integrated into existing systems by example of the educational online board Comtella-D, which exploits the framework for recommending relevant discussions to the users. In our evaluations we compare different recommender strategies, investigate usage behavior over time, and show that a small amount of user data is sufficient to generate precise recommendations.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Fabian Abel
    • 2
  • Ig Ibert Bittencourt
    • 1
  • Nicola Henze
    • 2
  • Daniel Krause
    • 2
  • Julita Vassileva
    • 3
  1. 1.Computer Science InstituteFederal University of AlagoasMaceioBrazil
  2. 2.IVS - Semantic Web GroupLeibniz University of HannoverHannoverGermany
  3. 3.Department of Computer ScienceUniversity of SaskatechwanSaskatoonCanada

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