2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.AI2025★ 1 cited
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…
cs.IR2025★ 2 cited
360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation
Hamed Firooz, Maziar Sanjabi, Adrian Englhardt +20
Ranking and recommendation systems are the foundation for numerous online experiences, ranging from search results to personalized content delivery. These systems have evolved into…