基于校园web浏览行为的师生关注度计算方法

Computing Method for Teacher and Student Attention Degree based on Campus Web Browsing Behavior

了解师生对校园网不同主题信息的关注度,是校园网建设的重要一步,也是决定校园网服务质量的关键因素。通过分析网页浏览行为,结合用户关注度衰减的规律,提出一种基于校园web浏览行为的师生关注度计算方法,利用K-means算法对师生浏览主题进行聚类,计算出师生主题关注度,最后通过实验证明所提出的师生关注度计算方法是有效的。

To optimize campus web, the first step is to learn about teacher and student attention degree on the themes of campus web, which are also critical factors determining the campus web service quality. After analyzing the web browsing behavior and law of users＇ attention degree attenuation, the paper proposes a new calculation of teacher and student attention degree based on research on campus web browsing behavior; it then uses K-means algorithm to cluster teacher and students＂ browsing content into themes and teacher and student attention degree is obtained. Finally, experiments prove that calculation method of teacher and student attention degree is effective.