Heat conduction process on community networks as a recommendation model

被引：184

作者：

Zhang, Yi-Cheng ^{[1
]}

Blattner, Marcel

Yu, Yi-Kuo

机构：

[1] Natl Lib Med, Natl Ctr Biotechnol Informat, NIH, Bethesda, MD 20894 USA

[2] Renmin Univ, Dept Phys, Beijing, Peoples R China

[3] Univ Fribourg, Dept Phys, CH-1700 Fribourg, Switzerland

来源：

PHYSICAL REVIEW LETTERS | 2007年 / 99卷 / 15期

关键词：

D O I：

10.1103/PhysRevLett.99.154301

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Using heat conduction mechanism on a social network we develop a systematic method to predict missing values as recommendations. This method can treat very large matrices that are typical of internet communities. In particular, with an innovative, exact formulation that accommodates arbitrary boundary condition, our method is easy to use in real applications. The performance is assessed by comparing with traditional recommendation methods using real data.

引用

页数：4

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