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Group Recommender Systems: A Virtual User Approach Based on Precedence Mining

  • Venkateswara Rao Kagita
  • Arun K. Pujari
  • Vineet Padmanabhan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8272)

Abstract

The recommendation framework based on precedence mining as outlined in [3] is limited to personal recommendation and cannot be trivially extended for group recommendation scenario. In this paper, we extend the precedence mining model for group recommendation by proposing a novel way of defining a virtual user by taking transitive precedence relation into account. We obtained experimental results for different combinations of parameter settings and for different group-sizes on MovieLens data-set based on our virtual-user model. We show that our framework has better performance in terms of precision and recall when compared with other methods.

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Venkateswara Rao Kagita
    • 1
  • Arun K. Pujari
    • 1
  • Vineet Padmanabhan
    • 1
  1. 1.School of Computer and Information SciencesUniversity of HyderabadHyderabadIndia

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