From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems

Brian Hsu, Cyrus DiCiccio, Natesh Sivasubramoniapillai +1

Fairness research in machine learning often centers on ensuring equitable performance of individual models. However, real-world recommendation systems are built on multiple models…