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Expressmind: Recommending contents in an anonymous social network

Social networks have been popular since a few years ago. They still attract the attentions of developers to come up with new features. In this paper we have introduced an anonymous social network based on recommending shared items. We have tried to hide the record and status of user, from sights of others via anonymity. This social network designed to recommend both content and people in respect to user's ratings. In order to evaluate our proposed recommending algorithms, we introduced two metrics based on 6 months of online user study. These metrics have been used to evaluate desirability and relevancy of recommended items.