A User-Recommendation Method Based on Social Media

被引：0

作者：

Hong Chen ^{[1
]}

Shengmei Luo ^{[1
]}

Lei Hu ^{[1
]}

Xiuwen Wang ^{[2
]}

机构：

[1] ZTE Corporation

[2] National Computer network Emergency Response technical Team

来源：

ZTECommunications | 2014年 / 12卷 / 01期

关键词：

social media; user recommendation; information recommenda-tion; relation analysis;

D O I：

暂无

中图分类号：

TP391.3 [检索机];

学科分类号：

081203 ; 0835 ;

摘要：

User-analysis techniques are mainly used to recommend friendsand information. This paper discusses the data characteristicsof microblog users and describes a multidimensional user rec-ommendation algorithm that takes into account microbloglength, relativity between microblog and users, and familiaritybetween users. The experimental results show that this multidi-mensional algorithm is more accurate than a traditional recom-mendation algorithm.

引用

页码：57 / 61

页数：5

共 5 条

[1] A hybrid content-based and item-based collaborative filtering approach to recommend TV programs enhanced with singular value decomposition [J].