期刊文献+

电子商务网站推荐系统中关联规则推荐模型的实现 被引量:24

Implementation of Association Rules Recommendation Model in Recommendation System of E-commence Web
下载PDF
导出
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)
关键词 关联规则推荐模型 概念层次 FP_Tree算法 Association rules recommendation model Concept level FP_Tree algorithm
  • 相关文献

参考文献6

  • 1Lawrence R D, Almasi G S, Kotlyar V, et al. Personalization of Supermarket Product Recommendations. Special Issue of the International Journal Data Mining and Knowledge Discovery, 2001,5:11-32
  • 2Sarwar B, Karypis G, Konstan J, et al. Analysis of Recommendation Algorithms for E-commerce. ACM Conference on Electronic Commerce, 2000
  • 3Srikant R. Mining Generalized Association Rules. In: Proc. of VLDB,Zurich, Switzerland, 1995:407419
  • 4Han Jiawei. Discovery of Multiple-level Association Rules from Large Databases. In: Proc. of VLDB, Zurich, Switzerland, 1995:420
  • 5Kamber J, Kaufman M. Data Mining: Concepts and Techniques. 2001
  • 6程继华,施鹏飞.多层次关联规则的有效挖掘算法[J].软件学报,1998,9(12):937-941. 被引量:42

二级参考文献2

  • 1Han Jiawei,Proceedings of the Intelnational Conference on Very Large Databases,1995年,420页
  • 2Han Jiawei,IEEE Trans Knowl Data Eng,1993年,5卷,1期,29页

共引文献42

同被引文献179

引证文献24

二级引证文献109

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部