Context such as user location, time, and user profile has been popularly applied to analyze the user behaviors for many societies. In this thesis, we develop a restaurant recommendation system based on mobile context-aware services to provide customized information for users. We analyze the service satisfactions of the users to recommend favor restaurants for them. With the mobile context awareness, the proposed framework can substantially satisfy the user demands in the restaurant recommendations.