long-term engagement Optimize介绍

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<Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems>

3.方法

我们提出了从顺序决策最优化的角度,在推荐中改进long-term user engagement。

参考

字节ADS介绍

字节在《Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders》提出了它们的关于序列建模的多场景建模实现ADS:# 摘要在像抖音这样的超级应用中,用户通常会在多个业务场景中展现...… Continue reading

字节SVQR

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wechat TCN介绍

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