文献类型：会议论文

英文题名：Study and Design on the Model of Personalized Recommendation System in E-Commerce Based on Multi-Agent

作者：Xue, Yun[1];Shen, Xiaoping[1];Chen, Jianbin[1]

第一作者：薛云

通讯作者：Xue, Y[1]

机构：[1]Beijing Union Univ, Coll Business, E Commerce Dept, Beijing, Peoples R China

第一机构：北京联合大学商务学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Business, E Commerce Dept, Beijing, Peoples R China.|[1141721]北京联合大学商务学院;[11417]北京联合大学;

会议论文集：International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011)

会议日期：NOV 19-20, 2011

会议地点：Melbourne, AUSTRALIA

语种：英文

外文关键词：Agent; Web Data Mining; Recommendation System; E-commerce; Personalization

摘要：With the development of the Internet. e-commerce has become an important form for current consumer purchases or browsing commodity. It was a problem on how to provide personalized recommendation e-commerce service for users under growing and changes in the amount of commodity information. According to the Agent and Web data mining technology, this paper presents a base on Agent of e-commerce personalized recommendation system structure that is composed of customers. personalized recommendation system and e-commerce sites. The personalized recommendation system is divided into 3 layers. including the presentation layer. the business logic layer and the data service layer. The function of each part and multi-Agent cooperative work flow of the personalized recommendation system are designed. The system could meet intelligent personalized recommendation and personalized demand for consumers under the e-commerce environment, which has certain practical and promoted value in the future.