Abstract: Social networks provide an important source of information regarding users and their interactions which is very valuable for the recommender systems. In web-based social networks social trust relationships between users indicate the similarity of their needs and opinions. In this paper, we presented a social network based recommender system named "Friendprobe" an app that utilizes the information of the user and makes recommendations by considering users major interest and calculating the similarities between each user, thus recommending friends. A probabilistic model is being developed to make this personalized recommendation from the basic information collected from the user. We also help the users in a way by searching and recommending friends who do not belong to the same category of the major interest as the user.
Keywords: Social networks, Recommender system, user interest.