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个性化推荐与Web预取技术对比
引用本文:姚瑶,张文,石磊.个性化推荐与Web预取技术对比[J].吉林林学院学报,2010(4):376-380.
作者姓名:姚瑶  张文  石磊
作者单位:[1]中州大学信息工程学院,河南郑州450044 [2]郑州大学信息工程学院,河南郑州450001
基金项目:河南省教育厅自然科学基金项目(2009B520025)
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.

关 键 词:个性化推荐  Web预取  预测模块

Comparison between Personalized Recommendation Technology and Web Prefetching
Authors:YAO Yao  ZHANG Wen  SHI Lei
Institution:1.Information Engineering College of Zhongzhou University,Zhengzhou 450044,China;2.Information Engineering College of Zhengzhou University,Zhengzhou 450001,China)
Abstract: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.
Keywords:personalized recommendation  Web prefetching  prediction model
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