Using multi-features to partition users for friends recommendation in location based social network

Friend recommendation is an important feature of social network applications to help people make new friends and expand their social circles. However, the user-location and user-user information in location based social network are both too sparse which contributes to a big challenge for recommendation. In this paper, a new multi-feature SVM based friend recommendation model (MF-SVM) is proposed which regarded as a binary classification problem...