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Kuaishou Technology
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UAME transforms the way we handle user satisfaction in video recommendations by incorporating uncertainty directly into the optimization process, yielding superior alignment with actual user preferences.
A2Gen transforms short video recommendations by treating user actions as dynamic sequences, resulting in substantial improvements in user engagement metrics.
Reranking in recommender systems can be revolutionized by shifting from local indices to generating global identifiers, enhancing robustness and user satisfaction.
