RESEARCH ON PERSONALIZED RECOMMENDATION ALGORITHM BASED ON SOCIAL NETWORK

被引：0

作者：

Zhu, Linke ^{[1
]}

Ge, Wei ^{[1
]}

机构：

[1] Northwest Univ, Dept Comp Sci, Xian, Peoples R China

来源：

FOURTH INTERNATIONAL CONFERENCE ON COMPUTER AND ELECTRICAL ENGINEERING (ICCEE 2011) | 2011年

关键词：

Social network; Personalized recommendation; Nearest neighbors; Recommend set;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Based on the issue that users have faced a lot of miscellaneous information in social network, this paper proposes a personalized recommendation algorithm for social network. Firstly, the algorithm produces similar content items by digging user generated contents. Secondly, on the basis of similar content items, it predicates the items which users are interested in, then recommends to users. Experiments show that this recommendation algorithm also has higher precision when datas are sparseness.

引用

页码：111 / 115

页数：5

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