文献类型：会议论文

英文题名：Research and Design on Personalized Commodities Recommendation Model of B2C Website

作者：Sun, Jie[1];Chen, Jianbin[1];Fang, Deying[1]

第一作者：孙洁

机构：[1]Beijing Union Univ, Coll Business, Beijing 100025, Peoples R China

第一机构：北京联合大学商务学院

会议论文集：8th Wuhan International Conference on E-Business

会议日期：MAY 30-31, 2009

会议地点：Wuhan, PEOPLES R CHINA

语种：英文

外文关键词：B2C Website; Personalized Information Service; Personalized Commodities Recommendation model

摘要：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.