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。
关键词:
关联规则推荐模型,
概念层次,
FP_Tree算法
Abstract: 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 .
中图分类号:
杨引霞,谢康林,朱扬勇,左子叶. 电子商务网站推荐系统中关联规则推荐模型的实现[J]. , 2004, 30(19): 61-63.
YANG Yinxia1,2,XIE Kanglin1, ZHU Yangyong3, ZUO Ziye3. Implementation of Association Rules Recommendation Model in Recommendation System of E-commence Web[J]. , 2004, 30(19): 61-63.