2 papers
cs.AI2026
Evidence Before Sampling: Interpretable Implicit Negative Candidate Discovery for Recommendation
Shreya Rajpal, Sonia Sharma, Swapnil Parekh +4
Recommender systems learn from observed user-item interactions, but explicit negative feedback is often unavailable. Since deep learning models require negative signals for trainin…
cs.LG2026
From Gradient-Boosted Trees to Deep Recommenders: Practical Lessons from Migrating a Production Customer Support Recommender
Sonia Sharma, Jeyendran Balakrishnan, Shreya Rajpal +3
Product catalogs in fast-moving service businesses are shifting from static, independently priced SKUs toward dynamically bundled, discount-coupled offerings--a shift that strains…