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