most citedUnlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model

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cs.AI2025

NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations

Yejing Wang, Shengyu Zhou, Jinyu Lu +9

Generative Recommendation (GR), powered by Large Language Models (LLMs), represents a promising new paradigm for industrial recommender systems. However, their practical applicatio…