：用户在访问Web站点时会碰到很多问题，主要原因是Web站点对用户需求缺乏适应性。为了提高Web用户的服务质量和用户的满意度，在用户访问网站点击流形成频繁序列模式的基础上，提出基于距离函数的聚类分析以及基于时间相似度函数的二次聚类分析算法。该算法可以求取频繁序列的相关性和反映用户对网页的兴趣的相似度，对下一步改善Web站点的结构及存在形式使站点达到更好的效果起先导作用-: Visit the Web site users will encounter a lot of problems, mainly due to Web sites the lack of adaptability to user needs. In order to improve the Web user s service quality and customer satisfaction, visit the Web site when users click-stream frequent sequential patterns formed on the basis of the distance function based on cluster analysis and time-based similarity function of the second cluster analysis algorithm. This algorithm can find frequent sequences relevance and reflect the user s homepage on the Internet for similarity, the next step to improve the Web site s structure and form so that site to achieve better results from the leading role