<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。
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