摘要
随着Internet和Web技术的发展,Web上的信息正以惊人的速度不断增长,用户在众多的信息中获取自己所需要的信息变得越来越困难.针对这个问题,提出了一种基于蚁群算法的网站优化算法,通过统计得到的Web日志相关数据项,计算得到任意页面间的转移概率,并利用转移概率实现网站的优化.实验结果表明,该算法能有效地实现网站优化.
With the development of Internet and Web technology, the information on the Web is growing with amazing rate, and it is increasingly difficult for the users to get access to those needed by them from tremendous information. In order to solve this problem, a website optimization algorithms based on the ant colony algorithm was intro- duced. With this algorithm the relevant data from the Web log can be obtained by statistics, the transition probability of random pages can be calculated and then this transition probability can be used to realize website optimization. The results of the experiment show that the algorithm can optimize the website effectively.
出处
《南京工业大学学报（自然科学版）》
CAS
2008年第3期101-104,共4页
Journal of Nanjing Tech University(Natural Science Edition)
关键词
蚁群算法
WEB日志
转移概率
网站优化
ant colony algorithm
Web log
transition probability
website optimization
