A generalized model via random walks for information filtering

Ren, Zhuo-Ming; Kong, Yixiu; Shang, Ming-Sheng; Zhang, Yi-Cheng

doi:10.1016/j.physleta.2016.06.009

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Journal article

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

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