%0 Journal Article
%T Designing a Recommender System Based on Social Networks and Location Based Services
%A Fatemeh Khoshnood
%A Mehregan Mahdavi
%A Maedeh Kiani sarkaleh
%J International Journal of Managing Information Technology
%@ 0975-5586
%D 2012
%I Academy & Industry Research Collaboration Center (AIRCC)
%X Mobile devices have diminished spatial limitations, in a way that one can personalize content in a suitableframe considering individualĄ¯s location and present it. Yet, it is not possible to consider userĄ¯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 userĄ¯s interestsand preferences and based on them and userĄ¯s current place, it offers some suggestions. Socialrecommender systems are a combination of social data on web like; userĄ¯s social networks and spatialinformation. Because userĄ¯s information include personal information and interests in social network sites,considering userĄ¯s current location and the information existing in social network data base, it is possibleto provide user with a suitable suggestion. Through this method usersĄ¯ interaction decreases and they canacquire their favorite information and services.
%K Recommender System
%K Social Networks
%K Location based services
%K Mobile Device
%U http://airccse.org/journal/ijmit/papers/4412ijmit04.pdf