作　　者： ; ; ;

机构地区： 同济大学经济与管理学院

出　　处： 《数学的实践与认识》 2010年第17期31-39,共9页

摘　　要： 针对当前自适应网站实现领域研究的不足,尤其是缺乏对网站自身拓扑结构的分析,站在用户的角度,结合Web日志挖掘和站点拓扑分析,提出地标系数这一指标来衡量网站结点的重要性.在此基础上,提出自适应网站的实现架构,并给出智能推荐(包括高亮显示和动态地图)和缓冲预取两种自适应策略.最后,对一个原型系统进行实验分析.结果表明,提出的自适应策略可提高网站访问者的访问效率. Considering the deficiencies of current website in adaptive ability,especially the lack of analysis to its own site topology,this paper,from the user＇s view,combines web log mining with site topology analysis to present the concept of landmark coefficient to measure the significance of website nodes.Subsequently,the process for designing adaptive website is proposed based on landmark coefficient.Then the adaptive strategies for website are presented including intelligent recommendation（such as highhght and dynamic map） and buffering for pre-fetching.Finally,this paper sets up a prototype system for experimental analysis after adopting adaptive strategies.The results show that the implementation of adaptive strategies can improve the users visiting efficiency with shorter length of affair path and less visiting times to meddle nodes.

关 键 词： 自适应网站 日志挖掘 拓扑结构 地标系数 动态地图

领　　域： [自动化与计算机技术] [自动化与计算机技术]