Towards Fully Distributed and Privacy-Preserving Recommendations via Expert Collaborative Filtering and RESTful Linked Data

Jae-wook Ahn, Xavier Amatriain
2010 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
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
more » ... solution based on REST and the use of Linked Data that can be used to implement a completely distributed and privacy-preserving recommender system.
doi:10.1109/wi-iat.2010.53 dblp:conf/webi/AhnA10 fatcat:hkoyhg37prfthejlujyq775wsu