Open Search Foundation#ossym23 flashback:
“Privacy-Preserving Collaborative Filtering: Evaluating a Machine Learning Recommender System in a Large Interconnected Organization” was presented by Igor Jakovljevic (ISDS Technische Universität Graz & CERN).
The paper provides insights into the practical applicability and performance of privacy preserving CF techniques, thus contributing to the development of privacy-aware recommender systems in organizational settings.