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Material supporting the tutorial "Pursuing Privacy in Recommender Systems: The View of Users and Researchers from Regulations to Applications" held at the 15th ACM Conference on Recommender Systems in Amsterdam, Netherlands

Python 17.17% Jupyter Notebook 82.83%
privacy recommender-system differential-privacy secure-multi-party-computation homomorphic-encryption tensorflow-privacy pysyft tutorial recsys recsys2021

recsys2021-pursuing-privacy's Introduction

Pursuing Privacy in Recommender Systems

The View of Users and Researchers from Regulations to Applications

This repository contains all the material supporting the tutorial Pursuing Privacy in Recommender Systems: The View of Users and Researchers from Regulations to Applications held at the 15th ACM Conference on Recommender Systems on 30th September 2021 in Amsterdam, Netherlands.

  • Tutorial Slides (link)
  • Tutorial Video Recording (link)
  • Hands-On Session (launch the notebooks: Binder)
  • Proceedings Paper (link)

For information, please contact us at

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