Recommendation model based on opinion diffusion
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Zhang, Yi-Cheng
Physics Department, University of Fribourg, Switzerland - Department of Physics, Renmin University of China, Beijing, PRC
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Medo, Matúš
Physics Department, University of Fribourg, Switzerland
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Ren, Jie
Physics Department, University of Fribourg, Switzerland
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Zhou, Tao
Physics Department, University of Fribourg, Switzerland - Department of Modern Physics, University of Science and Technology of China, Hefei, PRC
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Li, T.
Department of Physics, Renmin University of China, Beijing, PRC
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Yang, F.
Department of Physics, Renmin University of China, Beijing, PRC
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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.
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Faculty
- Faculté des sciences et de médecine
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Department
- Département de Physique
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Language
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Classification
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Physics
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License
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License undefined
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Identifiers
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Persistent URL
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https://folia.unifr.ch/unifr/documents/300860
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