most citedReinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library

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cs.DC2026

RecIS: Unifying Sparse and Dense Computation for Efficient Recommendation Training

Hua Zong, Shuai Yang, Zhengxiong Zhou +14

Modern recommender models scale sparse representations and dense computation together. They process thousands of heterogeneous feature fields, long user-behavior sequences, and tri…