Personalized Recommendation Strategies Analysis in E-commerce

被引：0

作者：

Sun, Shuying ^{[1
]}

机构：

[1] Zhengzhou Inst Aeronaut Ind Management, Zhengzhou, Henan, Peoples R China

来源：

2010 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING (MSE 2010), VOL 2 | 2010年

关键词：

E-commerce; Recommendation strategy; Collaborative filtering; Association rule; FRAMEWORK;

D O I：

暂无

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

With the development of personalized recommendation research, it has become increasingly important that how to select proper technology to set up recommendation system. In this paper, a few familiar personalized recommendation technologies are introduced briefly at first, while their characters are also analyzed. Then, corresponding strategies are put forward according to characteristics of products and guests. Structures of personalized recommendation system are suggested and their work principles are analyzed.

引用

页码：219 / 222

页数：4

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