Clique discovery based on user similarity for online shopping recommendation

被引：1
|
作者：
Yang Q. [1 ]
Zhou P. [1 ]
Zhang H. [2 ]
Zhang J. [2 ]
机构：
[1] Electronic Engineering and Automation Institute, Guilin University of Electronic Technology, Guilin
[2] Computer and Control Institute, Guilin University of Electronic Technology, Guilin
来源：
Information Technology Journal | 2011年 / 10卷 / 08期
关键词：
Clique core; Clique discovery; Clique leader; Online recommendation;
D O I：
10.3923/itj.2011.1587.1593
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Identifying cliques with the same interests is valuable for online shopping which can make the recommendation and advertisements to target different users more accurately and maximize the benefits of advertisers, publishers and users. This study, has proposed an effective and efficient method to discover cliques for online shopping which firstly identifies clique leaders and clusters the most similar users, then computes clique cores among existing clique members and finally generates the complete cliques. A marked improvement is that two key factors, users' behavioral characteristics and regular purchase information, are unified to discover cliques. This method can also remove effectively most of fake purchases through computing the operation similarity among different goods categories. © 2011 Asian Network for Scientific Information.
引用
收藏
页码：1587 / 1593
页数：6
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