Personalized mobile social network system using collaborative filtering

Abstract

In this paper, we propose a location-based mobile social network system that integrates collaborative content recommendation The proposed system is an effective fusion of a traditional social network system, a location-based system, and a provider of intelligent recommendations. The prototype and service scenario in this study show possibilities for technical advancement and future extension of mobile social networking services. To verify the proposed system, we completed experiments to determine the recognition rate for a user's facial image on a real-world smart-phone and the preference prediction accuracy of a collaborative filtering-based recommendation system. As a result, we confirmed that the system is highly effective and applicable to convergence by a location-based service and a content recommender through our implementation and preference prediction experiments. © 2012 Springer-Verlag.