A generalized model via random walks for information filtering
- Ren, Zhuo-Ming Department of Physics, University of Fribourg, Switzerland - Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, ChongQing, China
- Kong, Yixiu Department of Physics, University of Fribourg, Switzerland
- Shang, Ming-Sheng Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, ChongQing, China
- Zhang, Yi-Cheng Department of Physics, University of Fribourg, Switzerland
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06.08.2016
Published in:
- Physics Letters A. - 2016, vol. 380, no. 34, p. 2608–2614
English
There could exist a simple general mechanism lurking beneath collaborative filtering and interdisciplinary physics approaches which have been successfully applied to online E-commerce platforms. Motivated by this idea, we propose a generalized model employing the dynamics of the random walk in the bipartite networks. Taking into account the degree information, the proposed generalized model could deduce the collaborative filtering, interdisciplinary physics approaches and even the enormous expansion of them. Furthermore, we analyze the generalized model with single and hybrid of degree information on the process of random walk in bipartite networks, and propose a possible strategy by using the hybrid degree information for different popular objects to toward promising precision of the recommendation.
- Faculty
- Faculté des sciences et de médecine
- Department
- Département de Physique
- Language
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- English
- Classification
- Physics
- License
- License undefined
- Identifiers
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- RERO DOC 277436
- DOI 10.1016/j.physleta.2016.06.009
- Persistent URL
- https://folia.unifr.ch/unifr/documents/304980
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