Big Data based User Clustering and Influence Power Ranking

被引：0

作者：

Jia, Yuwei ^{[1
]}

Chao, Kun ^{[1
]}

Cheng, Xinzhou ^{[1
]}

Yuan, Mingqiang ^{[1
]}

Mu, Mingjun ^{[1
]}

机构：

[1] China Unicom Network Technol Res Inst, Dept Network Optimizat & Management, Beijing, Peoples R China

来源：

2016 16TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT) | 2016年

关键词：

big data; K-means; PageRank;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Telecom big data implies abundant user information. In this paper, it employs the telecom data and proposes a user clustering and influence power ranking scheme. The scheme is implemented through three stages, i.e. the user portrait analysis stage, the user clustering analysis stage and the ranking stage of user influence power. Experimental results have shown that, marketing promotion effectiveness based on this scheme has been improved significantly, while the advertising costs are also considerably reduced

引用

页码：371 / 375

页数：5

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