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

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.