• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2007, Vol. 29 ›› Issue (4): 25-26.

• 论文 • 上一篇    下一篇

基于内容和结构的Markov模型在网页预取中的应用

徐燕   

  • 出版日期:2007-04-01 发布日期:2010-05-30

  • Online:2007-04-01 Published:2010-05-30

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