Research on Data Mining Technique-Based E-Commerce Recommendation System

摘要：

Based on the applications of data mining techniques to e-commerce recommendation system,in this paper,two different examples of online bookstore recommendation systems are proposed.They are based on two different data mining techniques.One is association rules-based data mining and the other is Clustering-based data mining.In practice,these two online bookstore recommendation systems achieved good practical results.

关键词： e-commerce recommendation system data mining association rules clustering

作者: Aihua Qi Haoxia Dong Ruimei Liu

作者单位: Computer Science and Technology Department,Hebei Institute of Architecture Civil Engineering Zhang Jia Kou,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 629-632

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）