Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Analyzing Website Privacy Requirements Using a Privacy Goal Taxonomy
RE '02 Proceedings of the 10th Anniversary IEEE Joint International Conference on Requirements Engineering
Security and Privacy Requirements Analysis within a Social Setting
RE '03 Proceedings of the 11th IEEE International Conference on Requirements Engineering
Security and trust requirements engineering
Foundations of Security Analysis and Design III
ROAuth: recommendation based open authorization
Proceedings of the Seventh Symposium on Usable Privacy and Security
Reliable medical recommendation systems with patient privacy
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
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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.