基于内容和结构的Markov模型在网页预取中的应用  

Applying Content-and-Structure-Based Markov Model to Web Pre-Fetching

作　　者：徐燕 

机构地区：[1]洪都航空工业集团公司,江西南昌330024

出　　处：《计算机工程与科学》2007年第4期25-26,41,共3页Computer Engineering & Science

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。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.

关 键 词：WEB挖掘 预取 MARKOV模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]