Mapping web usage patterns to MDP model and mining with reinforcement learning

  • Authors:
  • Yang Gao;Zongwei Luo;Ning Li

  • Affiliations:
  • State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China;E-business Technology Institute, The University of Hongkong, China;State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

  • Venue:
  • FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
  • Year:
  • 2005

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Abstract

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.