Towards a comprehensive requirements architecture for privacy-aware social recommender systems
Shan Chen, Mary‐Anne Williams · UTS ePRESS (University of Technology Sydney) · 2010
Social recommendations have been rapidly adopted as important components in social network sites. How-ever, 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 con-sequence the development of privacy-aware coopera-tive social recommender systems give rise to an im-portant research gap. In this paper we identify key problems that arise from the privacy dimension of so-cial recommendations and propose a comprehensive requirements architecture for building privacy-aware cooperative social recommender systems. Copyright © 2010, Australian Computer Society, Inc.