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Generative recommendation can beat DLRM in large-scale advertising, driving a 4.2% revenue lift in Kuaishou's production system via innovations in tokenization, decoding, optimization, and serving.
Ditch rigid distribution assumptions: a novel residual quantization approach predicts continuous values by recursively refining quantization codes, outperforming SOTA in recommendation tasks.
