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

PLE介绍

tx在《Progressive Layered Extraction (PLE): A Novel Multi-TaskLearning (MTL) Model for Personalized Recommendations》提出了PLE模型:# 1.介绍个性化推荐在在线...… Continue reading

DTS介绍

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taobao Privileged Features Distillation介绍

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