AdPriRec: a context-aware recommender system for user privacy in MANET services
UIC'11 Proceedings of the 8th international conference on Ubiquitous intelligence and computing
Pistis: A Privacy-Preserving Content Recommender System for Online Social Communities
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
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Expert Collaborative Filtering is an approach to recommender systems in which recommendations for users are derived from ratings coming from domain experts rather than peers. In this paper we present an implementation of this approach in the music domain. We show the applicability of the model in this setting, and show how it addresses many of the shortcomings in traditional Collaborative Filtering such as possible privacy concerns. We also describe a number of technologies and an architectural solution based on REST and the use of Linked Data that can be used to implement a completely distributed and privacy-preserving recommender system.