Mining User Daily Behavior Based on Location History

摘要：

　　With the development of mobile internet and increasing popularity of location aware smart phones,we are enabled to log userss location histories,which are the basis of a variety of location-based services.In this paper,we aim to mine user daily behavior based on a users location history.As we know,there are regularities in peoples daily activities,especially peoples daily travel experience.Such regularity is significant to service providers,by recommending potential friends or other information with high relevance to users.Therefore,an approach,namely time- clustering-based behavior analysis (TCBA) is proposed to model each individuals location history and mine the regularity in daily activities.By this approach,we can solve the following queries in a users daily life: 1) Given a specified time,such as dinner time or working time,what places a user often goes to? 2) Whats the regularity of a users daily life? By using this approach,we can recommend users a convenient route to company in advance,or friends with the same regularity.

关键词： data mining user behavior location-based service

作者: Yang Ji Chunhong Zhang Zhihao Zuo Jing Chang

作者单位: Mobile Life and New Media Laboratory Beijing University of Posts and Telecommunications Beijing, China

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 936-941

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）