A Comparison of Different Rating Based Collaborative Filtering Algorithms

  • Fabián P. Lousame
  • Eduardo Sánchez
Conference paper

DOI: 10.1007/978-3-540-85565-1_31

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5178)
Cite this paper as:
Lousame F.P., Sánchez E. (2008) A Comparison of Different Rating Based Collaborative Filtering Algorithms. In: Lovrek I., Howlett R.J., Jain L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science, vol 5178. Springer, Berlin, Heidelberg

Abstract

In this paper we present a preliminary work in which different rating based collaborative filtering algorithms are compared in terms of scalability and recommendation quality. Algorithms are tested using a reference database and results show that the selection of one or other algorithm depends on two factors: the scalability of the algorithms and the recommendation quality.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Fabián P. Lousame
    • 1
  • Eduardo Sánchez
    • 1
  1. 1.Grupo de Sistemas Inteligentes, Dpto. de Electrónica e ComputaciónUniversidade de Santiago de CompostelaSantiago de CompostelaSpain

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