会议专题

Research and Design on Personalized Commodities Recommendation Model of B2C Website

Personalized information service has been considered as a typical method to deal with the contradiction between mass information and the individualized requirements. This article carries out a model of commodity personalized recommendation for the B2C E-Commerce website, according to the thoughts of personalized information service. As for the Personalized Recommendation Services, the model brought out in this article will respect the difference of different users, and will learn and trace the interests of the users. And on the other hand, commodities are recommended to users in accordance with the interest.

B2C Website Personalized Information Service Personalized Commodities Recommendation model

Jie Sun Jianbin Chen Deying Fang

Business College of Beijing Union University, Beijing, 100025, China

国际会议

第八届武汉电子商务国际会议(The Eighth Wuhan International Conference on E-Business)

武汉

英文

583-588

2009-05-30(万方平台首次上网日期,不代表论文的发表时间)