基于概念联想网络的网页预取模型  

Web Pre-fetching Model Based on Concept Association Network

作　　者：孙强[1] 李建华[1] 李生红[1] 许欢庆[1] 

机构地区：[1]上海交通大学电子工程系,上海200030

出　　处：《上海交通大学学报》2004年第5期779-782,共4页Journal of Shanghai Jiaotong University

基　　金：国家高技术研究发展计划(863)项目(2003AA142160)

摘　　要：提出一种基于概念联想网络的网页预取模型,挖掘用户访问模式中蕴含的概念间联想模式,结合在线学习和离线挖掘两种方式,建立面向用户的概念联想网络,并基于概念联想网络实现网页预取评价.模型对网页进行概念层次的分析,提高了预取的准确性,实现了基于语义的客户端网页预取.This paper presented a pre-fetching model based on concept association network, which mines a concept association relationship implied in user access patterns and employs online learning and offline mining algorithms to construct a user-oriented concept association network. Using concept association network, the pre-fetching model makes semantic-based pre-fetching decisions in client end. This model implements a concept-based analysis on user access patterns and improves the prediction accuracy.

关 键 词：网页预取 概念联想 概念联想网络 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]