Lightweight Ranking Heads: Accelerating Multi-Task Experimentation in Production Recommender Systems
arXiv:2609.25433v1 Announce Type: new 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 with existing tasks, and can lead to long d…
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- 2026-09-23 04:00 · arXiv cs.LG
Lightweight Ranking Heads: Accelerating Multi-Task Experimentation in Production Recommender Systems