Friend Recommendation System in Social Network using Personality Analysis and User Behavior

Abstract

Social networking is a tool used by people all around the world. Its purpose is to promote and aid communication. Social networks, such as Facebook, were created for the sole purpose of helping individuals communicate. These networks are becoming the modern way to make friends. These new friends communicate through these networks. There exist recommendation systems in all the social networks which help users to nd new friends and connect to more peoples. With friends, there comes a strong friend recommendation system also. The existing social networks do have their own friend recommendation system which is based on the friends of friends' methodology. This graph based friend recommendation system is not very accurate most of the time and drive users to wrong direction. We tried to make this recommendation system more accurate adding some extra layers of personality analysis and user behavior. With the vast amount of user data, our system will gure out each user's personality traits and behavior which will be used to help him/her nding out new users with same nature.