Zhen-Zhen Hu

SDADL: SVD-Based Dual Adaptive Debiasing Learning for Personalized Recommendation

Personalized recommendation systems often suffer from various biases in data-driven paradigms, which can significantly degrade their fairness and generalization. Existing debiasing approaches typically rely on strong assumptions about bias types or purely statistical corrections, limiting their adaptability to unknown...