Private Movie Recommendations for Children

Anh Pham (), Mohammad Samragh (), Sameer Wagh () and Emily Wenger ()
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Anh Pham: UC San Diego, Department of Biomedical Informatics
Mohammad Samragh: UC San Diego, Electrical and Computer Engineering
Sameer Wagh: UC Berkeley, RISE Lab
Emily Wenger: University of Chicago, Computer Science

A chapter in Protecting Privacy through Homomorphic Encryption, 2021, pp 163-167 from Springer

Abstract: Abstract Data-driven business models such as recommender systems (Netflix, Pandora) and targeted advertising platforms (Facebook, Google) heavily rely on consumer data and information about individual behavior patterns and preferences. In this work, we look at using Homomorphic Encryption as a tool to enable a privacy conscious recommender system that simultaneously allows the data-driven businesses while providing user privacy. We look at YouTube Kids as a target application.

Date: 2021
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DOI: 10.1007/978-3-030-77287-1_13

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