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1. 1. Exploiting Dynamic Privacy in Socially Regularized Recommenders

   University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)

   Author : Ramona Bunea; [2012]
   Keywords : ;

   Abstract : Users of social networks have shown an increasing concern for exposing their personal data to untrusted entities in order to receive recommendations. In this work, we describe the components of a privacy-aware collaborative filtering based recommender framework which targets two important issues in recommender systems operating in a social network: privacy concern of profile owners and sparsity of social trust among users in a social network. READ MORE