Journal article

Recommendation model based on opinion diffusion

  • Zhang, Yi-Cheng Physics Department, University of Fribourg, Switzerland - Department of Physics, Renmin University of China, Beijing, PRC
  • Medo, Matúš Physics Department, University of Fribourg, Switzerland
  • Ren, Jie Physics Department, University of Fribourg, Switzerland
  • Zhou, Tao Physics Department, University of Fribourg, Switzerland - Department of Modern Physics, University of Science and Technology of China, Hefei, PRC
  • Li, T. Department of Physics, Renmin University of China, Beijing, PRC
  • Yang, F. Department of Physics, Renmin University of China, Beijing, PRC
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    13.11.2007
Published in:
  • Europhysics Letters. - 2007, vol. 80, no. 6, p. 68003
English Information overload in the modern society calls for highly efficient recommendation algorithms. In this letter we present a novel diffusion-based recommendation model, with users' ratings built into a transition matrix. To speed up computation we introduce a Green function method. The numerical tests on a benchmark database show that our prediction is superior to the standard recommendation methods.
Faculty
Faculté des sciences
Department
Physique
Language
  • English
Classification
Physics
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/300860
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