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FAIRGate: Agentic Runtime Policy Selection and Verified Repair for Fairer Recommendation Delivery
Fairness-aware recommender systems often encode one fairness objective during training or apply a fixed re-ranking rule after scoring. In deployment, however, the appropriate fairness action can vary across requests because the candidate pool, item metadata, exposure debt, user preference history, a
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