An Intelligent Web Pre-fetching Based on Hidden Markov Model  

作　　者：许欢庆 金鑫 

机构地区：[1]Department of Computing Science, Shanghai Jiaotong University, Shanghai, 200030 [2]Institute of Information Science & Technology, Donghua University, Shanghai, 200051eb pre-fetching is one of the most popular strategies, which are proposed for reducing the perceived access delay and improving the service quality of web server. In this paper, we present a pre-fetching model based an the hidden Markov model, which mines the later information requirement concepts that the user's access path contains and makes semantic-based pre-fetching decisions. Experimental results show that our schcme has better predictive pre-fetching precision.

出　　处：《Journal of Donghua University(English Edition)》2004年第1期46-50,共5页东华大学学报（英文版）

基　　金：The research is supported by the National Natural Science Foundation of China(No. 60082003)

摘　　要：Web pre-fetching is one of the most popular strategies, which are proposed for reducing the perceived access delay and improving the service quality of web server. In this paper, we present a pre-fetching model based an the hidden Markov model, which mines the later information requirement concepts that the user's access path contains and makes semantic-based pre-fetching decisions. Experimental results show that our schcme has better predictive pre-fetching precision.Web pre-fetching is one of the most popular strategies,which are proposed for reducing the perceived access delay and improving the service quality of web server. In this paper, we present a pre-fetching model based on the hidden Markov model, which mines the latent information requirement concepts that the user's access path contains and makes semantic-based pre-fetching decisions.Experimental results show that our scheme has better predictive pre-fetching precision.

关 键 词：web pre-fetching hidden Markov model information requirement concept 

分 类 号：TN911[电子电信—通信与信息系统]