Privacy Analysis of a Networked Collaborative Recommendation System

The rapid expansion of available online services has raised concerns about user privacy. As a response to this concern, EU Parliament has recently approved General Data Protection Regulation, which aims to give citizens back control of their personal data. Built upon a recently developed token-based recommendation method (UPCV), we introduce in this paper a novel approach of networking collaborative recommendation engines and present the first results of a series of studies regarding its capability to protect user privacy. Keywords—data protection, general data protection regulation, privacy, recommendations, targeted advertising, upcv.