Reed Business Information
Recommender systems select the most interesting products for costumers based on their interests. The move of a recommender system to a cloud faces many challenges from the perspective of the protection of the participants. Little work has been done regarding secure recommender systems or how to cope with the legal liability of the cloud provider and any virtual machine inside the cloud. The authors propose DocCloud, a recommender system that focused on the protection of all participants against legal attacks. They present the architecture of DocCloud and analyze the security mechanisms that the system includes. Specifically, they study the properties of plausible deniability and anonymity of the recommenders and intermediate nodes.