Personalized advertisement recommendation system based on user profile in the smart phone

In this paper, we proposed the personalized service using user's profile in the smart phone environment. The wallet app in the smart phone gathers personal information, and generates the user profile, privacy is guaranteed. The server uses this profile and environment information to recommend personalized services. And using the feedback of user selection, the user's satisfaction rated could be improved.