most citedLeave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users

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cs.LG2026

Post-Training Fairness Control: A Single-Train Framework for Dynamic Fairness in Recommendation

Weixin Chen, Li Chen, Yuhan Zhao

Despite growing efforts to mitigate unfairness in recommender systems, existing fairness-aware methods typically fix the fairness requirement at training time and provide limited p…