摘要
在对数据挖掘技术和电子商务推荐系统进行研究的基础上,设计和提出了一种基于聚类算法的图书推荐系统,并将其应用到网上书店中,该系统在找近邻之前对所有资源进行聚类,缩小了找近邻的范围,从而大大提高了系统的运行效率,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 presents a book recommender system based on the clustering algorithm and applies it to net-bookstores. This system clusters all the resources first before looking for near neighbors to narrow the searching scope, and therefore greatly promotes the efficiency of the system and achieves good recommending results in its application.
出处
《微电子学与计算机》
CSCD
北大核心
2007年第4期197-199,共3页
Microelectronics & Computer
关键词
数据挖掘
电子商务
推荐系统
data mining
e-commerce
reconmmender system
