OpenNym: Privacy preserving recommending via pseudonymous group authentication

Alessandro Checco, Lorenzo Bracciale, Douglas J. Leith, Giuseppe Bianchi

Abstract: A user accessing an online recommender system typically has two choices: either agree to be uniquely identified and in return receive a personalized and rich experience, or try to use the service ano...