计算机技术与发展2012，Vol.22Issue(9)：9-12,17,5.
基于序列模式的用户浏览行为提取与分析
User Browsing Behavior Extraction and Analysis Based on Sequence Pattern
摘要
Abstract
Nowadays,internet provides more and more application and services,there are more and more contents on Web,and mobile applications develop more and more quickly. Meanwhile, the more sophisticated Web services applications need higher quality of users. Many times some users may feel confused in those Web services. It presents the sequence based on user access patterns for user behavior extraction and analysis methods. The method can be divided into two parts of the browse mode analysis and user clustering. For browse mode analysis,first based on user behavior data get navigation sequence;Then the sequential pattern mining algorithm,so-called PrefixS-pan, is used in getting user browsing pattern;Finally applies user browsing pattern to Web services,and provides personalized services to different users. For user clustering,a hierarchical clustering method is used for splitting user into different categories. The impact of different attributes of user (such as age,occupation,education) to user clustering is researched. Experimental results show that the PrefixSpan algorithm and hierarchical clustering method used in the browse mode analysis has a good feasibility and validity in this paper.关键词
用户浏览行为分析/序列模式/层次聚类算法/个性化服务/浏览模式Key words
user behavior analysis/sequential patterns/hierarchical clustering algorithm/personalized service/browsing pattern分类
信息技术与安全科学引用本文复制引用
车高营,张磊,张禄旭..基于序列模式的用户浏览行为提取与分析[J].计算机技术与发展,2012,22(9):9-12,17,5.基金项目
上海市重点学科建设项目(J50103) （J50103）
上海市教育委员会科研创新项目资助(重点)(11ZZ85) （重点）
上海市远程教育集团学科研究课题(JF1208) （JF1208）
