SAGERec: Sampling and Gating for Enhanced Long-Tail Item Recommendations

Published in WSDM 2026, 2026

SAGERec addresses the critical challenge of long-tail item recommendations in modern recommendation systems. Our method combines innovative sampling strategies and gating mechanisms to improve recommendation accuracy for less popular items while maintaining overall system performance.

Recommended citation: Abdulla Alshabanah, **Yuxin Yang**, Murali Annavaram. "SAGERec: Sampling and Gating for Enhanced Long-Tail Item Recommendations." Proceedings of the 19th ACM International Conference on Web Search and Data Mining (WSDM), 2026.