一种基于Web用户访问模式的矩阵聚类算法研究

Study on Matrix Cluster Algorithm Based on Web Customer Access Pattern

针对用户访问Web资源时难以获取感兴趣信息的状况,通过分析用户需求,采用优化的矩阵聚类算法,对用户群和页面进行聚类,以理解用户的行为,发现用户的访问模式,从而改善Web服务质量。实验结果表明该方法是可行的,能够更准确的反映网站的访问情况;根据发现用户访问的Web页面的浏览模式,进一步分析和研究Web日志记录中的规律,从而改进Web站点的性能和组织结构,以便Web站点能实现个性化服务。

Aiming at the status that users are difficult to obtain interesting information when accessing web resources,by analyzing users＇ requires,an optimized matrix clustering algorithm is proposed to improve web service quality.The user group and page are put in a cluster to understand the user behavior and find the users access patterns.Experimental results show that the method is feasible for more accurate reflection of the site access.According to the discovery of the browsing mode of users＇ access to the web page,the administrator can further analyze and study the regular pattern of web log records to improve Web site performance and organizational structure,so as to provide personalized service.