Using Genetic Algorithms for Personalized Recommendation

被引：0
|
作者：
Hwang, Chein-Shung [1 ]
Su, Yi-Ching [2 ]
Tseng, Kuo-Cheng [2 ]
机构：
[1] Chinese Culture Univ, Dept Informat Management, Taipei, Taiwan
[2] Chinmin Inst Technol, Dept Informat Management, Miaoli, Taiwan
来源：
COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS, PT II | 2010年 / 6422卷
关键词：
Recommender systems; generic algorithm; collaborative filtering;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With the high-speed development of customer service orientation, it is essential that the enterprises must find and understand customers' interests and preferences and then provide for suitable products or services. Recommender systems provide one way of circumventing this problem. This paper describes a new recommender system, which employs a genetic algorithm to learn personal preferences of customers and provide tailored suggestions.
引用
收藏
页码：104 / +
页数：3
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