New Study Proposes Framework for Category-Aware Fairness in Ranking Systems
A new arXiv paper introduces a probabilistic framework for fair ranking in recommender systems, measuring fairness as distributional stability across categories.
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-10-30 04:00 · arXiv stat.ML
Hidden Disparities in Ranking: Category-Aware Fairness via Distributional Stability