[1]李冬.基于校园web浏览行为的师生关注度计算方法[J].武汉职业技术学院学报,2016,(01):70-73.
　LI Dong.Computing Method for Teacher and Student Attention Degree based on Campus Web Browsing Behavior[J].Journal of Wuhan Polytechnic,2016,(01):70-73.
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基于校园web浏览行为的师生关注度计算方法()
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《武汉职业技术学院学报》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2016年01期
页码:
70-73
栏目:
出版日期:
2016-02-28

文章信息/Info

Title:
Computing Method for Teacher and Student Attention Degree based on Campus Web Browsing Behavior
文章编号:
1671-931X（2016）01-0070-04
作者:
李冬
商丘职业技术学院 计算机系，河南 商丘 476000
Author(s):
LI Dong
Computer Department, Shangqiu Polytechnic, Shangqiu476000, China
关键词:
校园web; 浏览行为; 师生关注度
Keywords:
campus web;  browsing behavior;  teacher and student;  attention degree
分类号:
TP393.18
文献标志码:
A
摘要:
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。
Abstract:
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.

备注/Memo

备注/Memo:
收稿日期：2015-11-10 基金项目：河南省基础与前沿技术研究项目“云计算资源调度优化研究”（项目编号：132300410445）。 作者简介：李冬（1982-），男，河南商丘人，硕士，商丘职业技术学院计算机系讲师，研究方向：计算机应用技术。
更新日期/Last Update: 2016-02-28