Lightweight Ranking Heads: Accelerating Multi-Task Experimentation in Production Recommender Systems.
arXiv:2609.25433v1 Announce Type: cross Abstract: Modern production-scale recommender systems rely on complex, multi-task ranking models. Introducing new prediction tasks into these massive systems often causes bottlenecks - it risks negative task conflicts wi
arXiv cs.AIResearch source·