Sonia Sharma

Evidence Before Sampling: Interpretable Implicit Negative Candidate Discovery for Recommendation

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 typically treat selected unobserved interactions as negatives. However, a missing interaction does not explain …