DataFunTalk
Jun 13, 2021 · Artificial Intelligence
HRL-Rec: A Hierarchical Reinforcement Learning Framework for Integrated Recommendation
This article presents HRL-Rec, a hierarchical reinforcement learning model that jointly learns user preferences at the item and channel levels for integrated recommendation systems, and demonstrates its superior offline and online performance, stability, and scalability through extensive experiments on the WeChat "See" platform.
channel selectorhierarchical reinforcement learningintegrated recommendation
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