科研成果详情

题名Mapping web usage patterns to MDP model and mining with reinforcement learning
作者
发表日期2006
会议名称2nd International Conference on Fuzzy Systems and Knowledge Discovery
会议录名称Fuzzy Systems and Knowledge Discovery: Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II
会议录编者Lipo Wang, Yaochu Jin
ISBN3540283315
ISSN0302-9743
卷号Lecture Notes in Artificial Intelligence, volume 3614
页码698-702
会议日期AUG 27-29, 2005
会议地点Changsha, China
摘要

For many web usage mining applications, it is crucial to compare navigation paths of different users. This paper presents a reinforcement learning based method for mining the sequential usage patterns of user behaviors. In detail, the temporal data set about every user is constructed from the web log file, and then the navigation paths of the users are modelled using the extended Markov decision process. The proposed method could learn the dynamical sequential usage patterns on-line. © Springer-Verlag Berlin Heidelberg 2005.

DOI10.1007/11540007_85
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收录类别SCIE ; CPCI-S
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS记录号WOS:000232218400085
Scopus入藏号2-s2.0-33749009295
引用统计
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/6985
专题个人在本单位外知识产出
作者单位
1.State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing, 210093,China
2.E-business Technology Institute,University of Hongkong,Hong Kong
推荐引用方式
GB/T 7714
Gao, Yang,Luo, Zongwei,Li, Ning. Mapping web usage patterns to MDP model and mining with reinforcement learning[C]//Lipo Wang, Yaochu Jin, 2006: 698-702.
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