一种基于Web数据挖掘的电子商务推荐系统

An E-commerce Recommendation System Based on Web Data Mining

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.