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Conference paper (in proceedings)

A novel recommender system fusing the opinions from experts and ordinary people

  • Wu, Pei University of Fribourg, Fribourg, Switzerland
  • Liu, Weiping University of Fribourg, Fribourg, Switzerland
  • Jin, Cihang University of Fribourg, Fribourg, Switzerland
    2010
Published in:
  • Proceedings of the Workshop on Context-Aware Movie Recommendation. - 2010, p. 41-44
collaborative filtering
experts finding
recommender systems
English In this paper, we propose a novel recommendation algorithm fusing the opinions from experts and ordinary people. Instead of regarding one's judgement capability as his/her expertise, we present a new definition which measures the amount of the recommendable items one know in a certain area. When computing the expertise, we consider both the average value and the accumulative value, and introduce a free parameter α to tune between these two values. To evaluate the proposed algorithm, simulations are run on the Moviepilot dataset, and the results demonstrate that our algorithm outperforms the conventional collaborative filtering algorithm.
Faculty
Faculté des sciences et de médecine
Department
Département de Physique
Language
  • English
Classification
Physics
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/301717
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