Research on Intelligent Recommendation Model of E-commerce Personalization of Multi-dimension and Flexibility Based on Web Mining

摘要：

the paper is based on web mining,which analyses problems of e-commerce recommendation system in web mining,adopts a comprehensive research system of integrating grammatical with semantic,puts forward a intelligent recommendation model of ecommerce personalization of multi-dimension and flexibility. The model can mine valuable information from different sides,and deal with getting data by assigned different weight value,finally,get a flexible recommendation model which continue to optimize by oneself. To be presently problems which are poor efficiency of a single recommendation,low accuracy of recommendation rules and poor flexibility of matching,provides a kind of methodology and solutions.

关键词： intelligent recommendation web mining personalized recommendation recommendation of multi-dimension flexible e-commerce

作者: Zhang Yimin Deng Shan

作者单位: Dalian Neusoft Institute of Information Dalian,China,116023

会议类型: 国际会议

会议名称: The Tenth Wuhan International Conference on E-Business(第十届武汉电子商务国际会议)

会议地点: 成都

会议语种:英文

页码: 455-461

在线出版日期: 2011-05-13（万方平台首次上网日期，不代表论文的发表时间）