Randomized Algorithms for Precise Measurement of Differentially-private, Personalized

Apple Machine Learning Research

This paper was accepted at The 5th AAAI Workshop on Privacy-Preserving Artificial Intelligence.
Personalized recommendations form an important part of today’s internet ecosystem, helping artists and creators to reach interested users, and helping users to discover new and engaging content. However, many users today are skeptical of platforms that personalize recommendations, in part due to historically careless treatment of personal data and data privacy. Now, businesses that rely on personalized recommendations are entering a new paradigm, where many of their systems must be overhauled to be…
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12/03/2024 – 18:03 /
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