Introduces PUID to estimate personalized sensitivity bounds for robust recommendations under hidden confounding in MNAR settings, outperforming global methods on three datasets.
Bias and debiasing in recommender systems: A survey and future directions,
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Robust Personalized Recommendation under Hidden Confounding in MNAR
Introduces PUID to estimate personalized sensitivity bounds for robust recommendations under hidden confounding in MNAR settings, outperforming global methods on three datasets.