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

来源：

EPL | 2007年 / 80卷 / 06期

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

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