Long-Term Fairness-Aware Recommendation via Adaptive Fairness Metric Selection
The proposed Long-term Fairness-aware Recommendation via Adaptive Fairness Metric Selection (LFR-via-AFMS) adaptively selects the most appropriate fairness criterion: Equal Opportunity for true causality, and Demographic Parity for spurious correlations, which eliminates unjustified disparities entirely.