摘要
介绍了一个电子商务网站推荐系统中关联规则推荐模型的实现过程。该模型的实现运用了概念层次的思想方法,采用了不需要产生候选集的频繁集挖掘算法FP_Tree挖掘关联规则。该推荐系统已经在一家电子商务网站上投入使用。
The implementation process of association rules recommendation model in the recommendation system of an E-commence Web is introduced. The implementation of model makes use of concept level thought and applies algorithm FP_Tree , which is a frequent items set mining algorithm that don't need to generate candidate items set , to mine association rules.The recommendation system mentioned above has been applied to an E-commence Web .
出处
《计算机工程》
CAS
CSCD
北大核心
2004年第19期57-59,共3页
Computer Engineering
基金
国家"863"计划基金资助项目(2002AA413420)