CluSoAF:A Cluster-based Semantic oriented Analyzing Framework for User Behaviors in Mobile Learning Environment

摘要：

　　The rapid development of communication technology boosts the emergence of mobile learning and offers people the opportunity to get education in a brand new way.User behavior analysis is very important in the mobile learning environment.In this paper we propose a cluster based framework CluSoAF to analyze the user behaviors and then using semantic similarity to conduct resources recommendation for users.Compared with other works,the CluSoAF we proposed in this paper is highly flexible and can achieve satisfying performance.

关键词： Mobile Learning User Behavior Analysis Clustering algorithm Semantic Similarity

作者: Nanhui Lin Guohua Chen Kai Zheng Yong Tang

作者单位: Netwok Center,South China Normal University,Guangzhou,China School of Computer Science,South China Normal University,Guangzhou,China

会议类型: 国际会议

会议名称: The 9th International Conference on Pervasive Computing and Application(ICPCA 2014)(第九届全国普适计算学术会议、第九届全国人机交互联合学术会议)

会议地点: 南昌

会议语种:英文

页码: 1-13

在线出版日期: 2013-09-26（万方平台首次上网日期，不代表论文的发表时间）