期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2016
卷号：9
期号：12
页码：23-34
出版社：SERSC
摘要：In order to predict network users’ access behavior accurately, this paper proposes a new prediction model based on Web access behavior. To improve prediction performance and reduce the state-space complexity, the model uses hybrid-order Markov chain structure and stores the sequences which share the same prefix. The problems that lower-order models have poor prediction performance and higher-order models result in high state-space complexity are solved in this paper. Simulation results have shown that the prediction model based on Web access behavior can improve the precision and recall to some extent.
