摘要
在对Web数据挖掘技术和电子商务推荐系统进行研究生的基础上,设计和提出了一种基于Web数据挖掘的电子商务推荐系统.该系统根据电子商务网站的基本特征,设计了用户当前兴趣表示方法和推荐算法,由于结合了Web使用挖掘和Web内容挖掘为顾客提供个性化推荐服务,从而较大提高了系统的推荐精确度,在实际应用中取得了较好的推荐效果.
After studying the Data Mining technique and the E-commerce Recommender System,this paper designs and present a E-commerce recommender system based on the Web data mining.This system designs the method of figure current client interests and recommendation algorithm based on character of E-commerce..it combines Web usage mining and Web content mining offer personal recommendation service for client,and therefore greatly promotes the precision of the system and achieves good recommending result in its application.
出处
《电脑知识与技术（过刊）》
2007年第16期1046-1047,1058,共3页
Computer Knowledge and Technology
