Lightweight ranking heads: accelerating multi-task experimentation in production recommender systems
Read the original at arxiv.org→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...
Original headline: "Lightweight Ranking Heads: Accelerating Multi-Task Experimentation in Production Recommender Systems"
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- Sep 23, 04:00 UTC arXiv cs.LG lead source Lightweight Ranking Heads: Accelerating Multi-Task Experimentation in Production Recommender Systems