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Privacy-preserving concepts for supporting recommendations in decentralized OSNs

Heupel, Marcel ; Bourimi, Mohamed ; Scerri, Simon ; Kesdogan, Dogan



Abstract

Recommender systems depend on the amount of available and processable information for a given purpose. Trends towards decentralized online social networks (OSNs), promising more user control by means of privacy preserving mechanisms, lead to new challenges for (social) recommender systems. Information, recommender algorithms rely on, is no longer available, (i.e. central user registries, friends ...

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