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
-
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 et de médecine
- Department
- Département de Physique
- Language
-
- English
- Classification
- Physics
- License
- License undefined
- Identifiers
-
- RERO DOC 10596
- DOI 10.1209/0295-5075/80/68003
- Persistent URL
- https://folia.unifr.ch/unifr/documents/300860
Statistics
Document views: 33
File downloads:
- zhang_rmb.pdf: 78