J4 ›› 2007, Vol. 29 ›› Issue (4): 25-26.
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徐燕
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摘要:
提出了一种结合页面内容和站点结构的Markov模型,该模型应用于网页预取。传统的Markov模型是基于历史的模型,将对用户以往的使用记录的统计应用于网页预取。本文通过在Markov模型之上,结合页面内容及站点结构来调整状态转移矩阵,以获得更精确的预取结果,提高Web服务的质量。性能测试结果表明,该模型具有较好的性能。
关键词: Web挖掘 预取 Markov模型
Abstract:
A content-and-structure-based Markov model is presented in this paper for the purpose of Wet) pre-fetching. The traditional Markov model is a history -based model which applies the statistical information to Web pre-fetching. The model presented in this paper gets a more precise result by adjusting the transition matrix in the traditional Markov model and improves the service quality of Web servers (QoS).Experimental results show that the proposed pre-fetching model has better performance.
Key words: web mining, web pre-fetching, Markov model
徐燕. 基于内容和结构的Markov模型在网页预取中的应用[J]. J4, 2007, 29(4): 25-26.
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链接本文: http://joces.nudt.edu.cn/CN/
http://joces.nudt.edu.cn/CN/Y2007/V29/I4/25