Robust Personalized Recommendation under Hidden Confounding in MNAR

Zongyu Li, Wanting Su, Tianyu Xia

Recommender systems often rely on observational user--item interaction data, which is prone to selection bias due to users' selective interactions with items. Inverse propensity we…