Collaborative filtering based spot recommendation seamlessly available in home and away areas

Abstract

This paper proposes a collaborative filtering based spot recommendation system seamlessly available in user's home areas and away areas. The system recommends spots to a user which are highly evaluated by other users whose preference in spot genre selection is similar to the user's one and whose home areas cover the user's current location. As an application of the proposed system, we have implemented a restaurant recommendation system. Experimental results have shown that the superiority of the proposed system to an existing spot recommendation system.