2026
Can Recommender Systems Teach Themselves? A Recursive Self-Improving Framework with Fidelity Control
ICML 2026poster
The scarcity of high-quality training data presents a fundamental bottleneck to scaling machine learning models. This challenge is particularly acute in recommendation systems, where extreme sparsity in user interactions leads to rugged optimization landscapes and poor generalization. We propose the…