long-term engagement Optimize介绍

Reading time ~1 minute

<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

LIC介绍

douyin在《Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System》详细介绍了LIC的实现:# 摘要用户的兴趣在一天中表现出动态模式,例如,用户通...… Continue reading

kuaishou LiveForesighter介绍

Published on February 21, 2025

kuaishou MomentCross介绍

Published on February 20, 2025