Recommending social network applications via social filtering mechanisms

Social applications have been growing in popularity in recent years. In order to recommend suitable and attractive social applications, an efficient recommendation system, considering the popularity and reputation of an application as well as the preferences and social relationships of a user, is proposed. By using Facebook as a test platform, the experiment shows that our model outperforms other methodologies and indicates that social relationships play a more important role than the preferences of a user and the popularity of an application.