<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。
meta在《Understanding Scaling Laws for Recommendation Models》讨论了推荐系统中的scaling law问题。# 摘要**规模(scale)**一直是提高机器学习性能的主要驱动力,理解**规模法则(scaling law...… Continue reading