Yu-Shu Zha

A Review of Causal Fairness in E-commerce Recommendation Systems: From Behavior Disentanglement to Counterfactual Intervention

Within online retail, e-commerce recommendation systems occupy a study-defining role, yet they have drawn growing criticism for producing stereotyped or biased outcomes. Conventional fairness metrics —notably demographic parity and equalized odds —treat ever y observed correlation between user attributes and recommenda...