基于改进的关联规则挖掘算法的用户兴趣挖掘  

User interest mining with improved association rule mining algorithm

作　　者：李珊[1] 邵兰洁[1] 孙丽云[1] 

机构地区：[1]燕京理工学院信息科学与技术学院,河北廊坊065201

出　　处：《计算机时代》2016年第9期70-72,75,共4页Computer Era

基　　金：廊坊市科技支撑计划项目(2015013004)

摘　　要：研究发现,传统的关联规则挖掘算法在用户兴趣挖掘的应用中,摒弃置信度这个度量值。究其原因,在于网站结构中置信度不能准确度量用户兴趣。提出了一个可以替代传统置信度的、在网站环境下能正确反映用户兴趣的确定性的度量值,并结合用户的浏览速率进行用户兴趣挖掘。对比实验结果表明,此方法挖掘用户兴趣的效果明显。The study found that the traditional association rule up the metric of confidence. The reason lies in the confidence of the website. This paper proposed a metric that can replace website environment, and mining the user interest according to that this method is effective in mining user interest. mining algorithm in the application of user interest mining, gives cannot accurately measure the user interest because of the structure traditional confidence and can correctly reflect user interest in the the user＇s browsing speed. The results of contrast experiment show that this method is effective in mining user interest.

关 键 词：关联规则 置信度 数据挖掘 用户兴趣挖掘 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]