摘要
随着Internet基础结构的不断扩大和其所含信息的持续增长,准确预测Web用户的访问行为并且进行合理推荐对于一个网站来说极其重要,而提高用户访问效率、减小用户感知延时的主要方法有页面预取技术和Web个性化推荐技术等.系统地比较了个性化推荐技术与预取技术的功能和特点,深入分析了二者在提高网络服务质量和用户访问效率方面的关键技术.
As the basic construction of the Internet constantly expands and its information continuously increases,it is extremely important to forecast the users＇ visit behaviors accurately and to carry on the reasonable recommendation.The ways in which the efficiency of user browsing can be improved and the time delay can be reduced are page prefectching and web personalized recommendation.This article compared the function and characteristics of personalized recommendation and Web prefetching systematically,analyzed two kinds of technologies to improve the QoS and users＇ access efficiency.
出处
《北华大学学报（自然科学版）》
CAS
2010年第4期376-380,共5页
Journal of Beihua University（Natural Science）
基金
河南省教育厅自然科学基金项目(2009B520025)
关键词
个性化推荐
WEB预取
预测模块
personalized recommendation
Web prefetching
prediction model
