PUID: A Personalized Deconfounding Framework for Recommender Systems under Hidden Confounding

arXiv:2605.21066 · cs.LG · Submitted 2026-05-20 · Read on arXiv

cs.LG

Submitted: 2026-05-20

Updated: 2026-09-05

Comments: This version is intended solely for the purpose of the author's graduation thesis and is not intended for further publication in any other venue. All contributors and individuals who provided assistance during this research have been duly acknowledged in the Acknowledgement section of this manuscript

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Robustness — 18× in this paper · explained in 5 episodes
• Benchmark — 16× in this paper · explained in 2 episodes
• Accuracy — 10× in this paper · explained in 1 episode
• Selection Bias — 7× in this paper · explained in 4 episodes
• Doubly Robust — 6× in this paper
• Regularization — 6× in this paper · explained in 3 episodes
• Personalized Unobserved-Confounding-aware Interaction Deconfounder — 5× in this paper
• Sparsity — 4× in this paper · explained in 4 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Information Gain — 3× in this paper · explained in 2 episodes
• Adversarial Training — 2× in this paper · explained in 1 episode
• Homogeneity — 2× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Causal Discovery — 1× in this paper · explained in 2 episodes
• Causal Inference — 1× in this paper · explained in 4 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Computational Biology — 1× in this paper · explained in 2 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Exposure Bias — 1× in this paper · explained in 2 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hypergraph — 1× in this paper · explained in 2 episodes
• P in the Inverse Propensity Scoring — 1× in this paper
• Representation Learning — 1× in this paper · explained in 2 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

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