Oct 2026
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...
Zhen-Zhen Hu, Yang Wang, Wen-Hao Qian et al.
· IEEE Transactions on Computa... · 0 citations