Automatic Feature Fairness in Recommendation via Adversaries

1 code implementation • 27 Sep 2023 • Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan

We leverage the Adaptive Adversarial perturbation based on the widely-applied Factorization Machine (AAFM) as our backbone model.

Fairness Recommendation Systems

Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation

no code implementations • 15 Feb 2023 • Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen

To address the issue, we propose a novel Dual Graph Multitask framework for imbalanced Delivery Time Estimation (DGM-DTE).