Recommendation model based on opinion diffusion

被引:101
作者
Zhang, Y. -C. [1 ,2 ]
Medo, M.
Ren, J. [1 ]
Zhou, T. [1 ,3 ]
Li, T. [2 ]
Yang, F. [2 ]
机构
[1] Univ Fribourg, Dept Phys, CH-1700 Fribourg, Switzerland
[2] Renmin Univ China, Dept Phys, Beijing 100872, Peoples R China
[3] Univ Sci & Technol China, Dept Modern Phys, Hefei 230026, Peoples R China
关键词
D O I
10.1209/0295-5075/80/68003
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
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. Copyright (C) EPLA, 2007.
引用
收藏
页数:5
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