A Personalized Recommendation Model Based on Users' Information Behavior

被引：0
|
作者：
Li, Suming [1 ]
Li, Xianqin [1 ]
机构：
[1] Nanchang Inst Sci & Technol, Sch Natl Educ, Nanchang 330108, Peoples R China
来源：
PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS, ENVIRONMENT, BIOTECHNOLOGY AND COMPUTER (MMEBC) | 2016年 / 88卷
关键词：
Network Users; Information Behavior; Personalized Recommendation;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
By collecting and analyzing the users' information behavior, the users' real interest can be obtained, and the recommendation of users' need can be generated. This paper explores the basic concept and the related technology of personalized recommendation. On that basis, this paper proposes a personalized recommendation model based on users' information behavior. The experiment shows that this model has some advantages in the accuracy, the stability and the efficiency of recommendation.
引用
收藏
页码：1248 / 1251
页数：4
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