节点文献
基于概念联想网络的网页预取模型
Web Pre-fetching Model Based on Concept Association Network
【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.
【Abstract】 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;
【Key words】 web pre-fetching; concept association; concept association network;
【Key words】 web pre-fetching; concept association; concept association network;
【基金】 国家高技术研究发展计划(863)项目(2003AA142160)
- 【文献出处】 上海交通大学学报 ,Journal of Shanghai Jiaotong University , 编辑部邮箱 ,2004年05期
- 【分类号】TP393
- 【被引频次】1
- 【下载频次】129