Comparison and Evaluation of Recommendation Systems on Social Networks

Social network based-recommendation has some benefits that it approach used for improve of recommendation systems. Recommendation systems are appropriate tools for provide useful and suitable recommendations in social networks. Nowadays web users are not only consumers of information, but they actively participate in social networks. We checked dimensions of recommendation systems on social networks in this paper and reviewed the related articles and then classified those based on the main technique for articles. We categorized the articles into four techniques, includes tag-based, context-based, social influence-based and trust-based recommendation system on social network. Finally we compared properties of articles in each category and then explained advantages and disadvantages of each model.