When Internet users are browsing the Web, they always have to wait for the next page to come up after selecting the link to the page, even though the Web server is sometimes idle. To reduce the perceived response time, the server is required to predict users' next HTTP request and pre-process the Web page with remaining CPU resources. This paper introduces various methods to predict users' next HTTP request using classified Web page information, user profiles, and Web logs. Sixteen algorithms and methods are analyzed and compared in this paper. Experimental results show that some methods produce highly probable results with the user of user profiles and classified Web page information.%用户浏览因特网网站点击某个链接后,该链接的网页往往需要一段时间才能传送到用户端.为了缩短用户的等待时间,利用网站服务器的空闲CPU时间,对用户下一个HTTP请求进行预测,以便预处理下一个网页是一种可能途径.使用已分类的网页信息、用户配置文件和网站日志进行预测,介绍并且分析了16种预测算法.实验结果证明某些算法是比较有效可信的.
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