pdf
pdf
Journal article

Information filtering by similarity-preferential diffusion processes

Université de Fribourg

  • Zeng, An Department of Physics, University of Fribourg, Switzerland
  • Vidmer, Alexandre Department of Physics, University of Fribourg, Switzerland
  • Medo, Matúš Department of Physics, University of Fribourg, Switzerland
  • Zhang, Yi-Cheng Department of Physics, University of Fribourg, Switzerland
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    01.03.2014
Published in:
  • EPL (Europhysics Letters), 2014, vol. 105, no. 5, p. 58002
English Recommender systems provide a promising way to address the information overload problem which is common in online systems. Based on past user preferences, a recommender system can find items that are likely to be relevant to a given user. Two classical physical processes, mass diffusion and heat conduction, have been used to design recommendation algorithms and a hybrid process based on them... Show more…
Language
  • English
Identifiers
Classification
Physics
Faculty
Faculté des sciences
Department
Physique
License
License undefined
Persistent URL
https://folia.unifr.ch/global/documents/303793