Towards a comprehensive requirements architecture for privacy-aware social recommender systems

Social recommendations have been rapidly adopted as important components in social network sites. However, they assume a cooperative relationship between parties involved. This assumption can lead to the creation of privacy issues and new opportunities for privacy infringements. Traditional recommendation techniques fail to address these issues, and as a consequence the development of privacy-aware cooperative social recommender systems give rise to an important research gap. In this paper we identify key problems that arise from the privacy dimension of social recommendations and propose a comprehensive requirements architecture for building privacy-aware cooperative social recommender systems.