Bending the Scaling Law Curve in Large-Scale Recommendation Systems

arXiv:2602.16986v2 Announce Type: replace Abstract: Learning from user interaction history through sequential models has become a cornerstone of large-scale recommender systems. Recent advances in large language models have revealed promising scaling laws, sparking a surge of ...

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