首页 | 官方网站   微博 | 高级检索  
     

基于关联规则相关性分析的Web个性化推荐研究
引用本文:易芝,汪林林,王练.基于关联规则相关性分析的Web个性化推荐研究[J].重庆邮电学院学报(自然科学版),2007(2).
作者姓名:易芝  汪林林  王练
作者单位:重庆邮电大学计算机科学与技术学院 重庆400065
摘    要:通过分析关联规则在Web个性化推荐中存在的问题,对Web个性化推荐的关联规则相关性分析算法进行改进,并进行了详细的论证和仿真实验。实验结果表明改进的算法能实现更低支持度的推荐,能提高推荐的准确率和速度。

关 键 词:关联规则挖掘  关联规则相关性分析  Web个性化推荐  支持度

Research on Web personalized recommendation based on correlation analysis of association rule
YI Zhi WANG Lin-lin WANG Lian.Research on Web personalized recommendation based on correlation analysis of association rule[J].Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition),2007(2).
Authors:YI Zhi WANG Lin-lin WANG Lian
Abstract:Through discussing the problems occur in Web personalized recommendations,an improved algorithm based on correlation analysis of association rule is proposed.The experiment is performed and the results show that the improved algorithm can not only realize Web personalization with lower support but also increase the recommen- dation precision and speed.
Keywords:mining association rule  correlation analysis of association rule  Web personalized recommendation  support
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号