Debiasing Recommendation by Learning Identifiable Latent Confounders

Qing Zhang, Xiaoying Zhang, Yang Liu +4

Recommendation systems aim to predict users' feedback on items not exposed to them. Confounding bias arises due to the presence of unmeasured variables (e.g., the socio-economic st…