Designing a Recommender System Based on Social Networks and Location Based Services

Mobile devices have diminished spatial limitations, in a way that one can personalize content in a suitableframe considering individual’s location and present it. Yet, it is not possible to consider user’s interests andpreferences in a suggestion provided using just place-based services. Current generation of place-basedservices do not provide users with personalized suggestions, instead they just offer suggestions close tointerests based on users distance from the place where they are. In order to solve this problem, the idea ofusing social recommender systems was discussed which contains capability of identifying user’s interestsand preferences and based on them and user’s current place, it offers some suggestions. Socialrecommender systems are a combination of social data on web like; user’s social networks and spatialinformation. Because user’s information include personal information and interests in social network sites,considering user’s current location and the information existing in social network data base, it is possibleto provide user with a suitable suggestion. Through this method users’ interaction decreases and they canacquire their favorite information and services.