Evidence Before Sampling: Interpretable Implicit Negative Candidate Discovery for Recommendation.

arXiv:2610.07708v2 Announce Type: replace Abstract: Recommender systems learn from observed user-item interactions, but explicit negative feedback is often unavailable. Since deep learning models require negative signals for training, negative sampling methods