The User Behavior Analysis For Mobile Social Networking

With the popularity of social network service (SNS) and the development of mobile terminal, mobile social network service (MSNS) also become prevalent. Compare with traditional SNS, MSNS has the advantages such as movable, lightweight and closer to user. MSNS can provide user position and social relation information which can be used in data mining for behavior analysis so it can help with accurate service and precision marketing.However MSNS can provide such data which is appropriate for behavior analysis, there is a lack of research on user behavior analysis in MSNS environment currently. This paper proposes a user behavior analysis system use in MSNS. The system including there parts, they are user behavior model, recommended service algorithm and feedback learning algorithm. User behavior phase and description of object in MSNS are defined in User model, based on such model recommended service algorithm and feedback learning algorithm are proposed for behavior analysis. At last a way of MSNS simulation platform foundation and the simulation result of MSNS user behavior system are presented.