现代电子技术2017，Vol.40Issue(5)：22-25,4.DOI:10.16652/j.issn.1004-373x.2017.05.006
Web日志与浏览行为结合下的用户浏览兴趣数据挖掘分析
Analysis of user′s browsing interest data mining combining Web log with user′s browsing behavior
摘要
Abstract
Since the data of the user′s browsing interest patterns has poor convergence performance and low accuracy,a user′s browsing interest patterns′ data mining model based on the combination of the Web log and user′s browsing behavior is proposed. The data information flow model of the user′s browsing interest pattern based on the combination of the Web log with user′s brow-sing behavior was designed to extract the frequent item feature of the user′s browsing interest pattern and predict the QoS. The be-havior scheduling mode combining the Web log with user′s browsing behavior is used to retrieve the interest feature points of the webpage browsed by the user adaptively to match the semantic feature,and mine the data of the user′s browsing interest pattern. The performance of the model was verified with simulation experiment. The results show that the method can highly match the in-terest feature points of the webpage browsed by the user,improve the data mining accuracy,and show its superior performance.关键词
Web日志/用户浏览行为/兴趣模式/数据挖掘Key words
Web log/user′s browsing behavior/interest pattern/data mining分类
信息技术与安全科学引用本文复制引用
李珊,刘继超,邵芬红..Web日志与浏览行为结合下的用户浏览兴趣数据挖掘分析[J].现代电子技术,2017,40(5):22-25,4.基金项目
河北省科学技术厅课题(15210128):基于用户兴趣多维数据的Web挖掘可视化平台的设计与实现 （15210128）
