Design and implementation of the idemix anonymous credential system
Proceedings of the 9th ACM conference on Computer and communications security
What am I gonna wear?: scenario-oriented recommendation
Proceedings of the 12th international conference on Intelligent user interfaces
Selecting keywords for content based recommendation
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
A recommender system for assistive environments
Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments
Integrating multi-source user data to enhance privacy in social interaction
Proceedings of the 13th International Conference on Interacción Persona-Ordenador
Trust and privacy in the di.me userware
HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: users and contexts of use - Volume Part III
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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 of friends), thus shared data is reduced and centralized processing becomes difficult. In this paper we address such drawbacks based on identified needs in the decentralized OSN di.me and present concepts overcoming those for selected functionalities. Besides this, we tackle the support of privacy advisory, warning the user of risks when sharing data.