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Kuaishou Technology
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Two-tower recommendation models can get a major online performance boost without latency penalties, thanks to a new capability synergy framework.
Forget disjointed workflows: AutoCut's unified token space for video, audio, and text slashes ad production costs while boosting consistency.
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.
