A Chinese Restaurant Recommendation System Based on Mobile Context-Aware Services

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