Corpus ID: 85459167

Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction

  title={Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction},
  author={Dongyan Zhao and Liang Zhang and Bo Zhang and Lizhou Zheng and Yongjun Bao and Weipeng P. Yan},
The recommender system is an important form of intelligent application, which assists users to alleviate from information redundancy. Among the metrics used to evaluate a recommender system, the metric of conversion has become more and more important. The majority of existing recommender systems perform poorly on the metric of conversion due to its extremely sparse feedback signal. To tackle this challenge, we propose a deep hierarchical reinforcement learning based recommendation framework… Expand
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