Technical Solutions for Privacy-Enhanced Personalization
Source: University of California
This chapter presents a first-of-its-kind survey that systematically analyzes existing Privacy-Enhanced Personalization (PEP) solutions and their underlying privacy protection techniques. The evaluation is based on an analytical framework of privacy-enhancing technologies, an earlier work of the authors. More specifically, the authors critically examine whether each PEP solution satisfies the privacy principles and addresses the privacy concerns that have been uncovered in the context of personalization. The chapter aims at helping researchers better understand the technical underpinnings, practical efficacies and limitations of existing PEP solutions, and at inspiring and developing future PEP solutions by outlining several promising research directions based on the findings.