Research on Recommender System in E-commerce Based on Web Mining

摘要：

This paper introduces Web mining technologies, analyzes the Web mining process often used in recommender system. We propose a recommender system model framework and design the recommender system in E-commerce. The model framework consists of data acquisition module, off-line module and online module, which solves the balance problem between recommendation accuracy and respond efficiency. The experiment data shows that the recommender system effectively improves the accuracy of the algorithm, reduces the response time, and has a very good recommendation effect and a certain application value.

关键词： e-commerce web mining recommender system data preprocessing association analysis

作者: Shen zihao Wang hui

作者单位: College of Computer of Henan Polytechnic Univer Jiaozuo 454003,China,College of Computer and Technol College of Computer of Henan Polytechnic Univer Jiaozuo 454003,China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Advanced Management Science(2010年IEEE高级管理科学国际会 IEEE ICAMS 2010)

会议地点: 成都

会议语种:英文

页码: 360-363

在线出版日期: 2010-07-09（万方平台首次上网日期，不代表论文的发表时间）