论文解析：Deep Reinforcement Learning for List-wise Recommendations

时间 2020-02-08

标签论文解析 deep reinforcement learning list wise recommendations 繁體版

原文原文链接

论文解析：Deep Reinforcement Learning for List-wise Recommendations 简介京东在强化学习推荐系统方面的工做，发表在KDD 2019web 背景推荐系统存在的问题：算法没法经过与用户的交互建模用户的动态兴趣变化最大化单次ranking的最大收益，未必是长期的全局最大收益 ranking过程忽略了item之间的关联方法强化学习强化学

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1. Deep Reinforcement Learning for List-wise Recommendations
2. 论文解析：Deep Reinforcement Learning for Page-wise Recommendations
3. 论文阅读：(LIRD)Deep Reinforcement Learning for List-wise Recommendations
4. 【论文笔记】Deep Reinforcement Learning for Page-wise Recommendations
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6. Deep Reinforcement Learning for Dialogue Generation
7. Deep Reinforcement Learning for Join Order Enumeration
8. Deep Residual Learning 论文解析
9. 论文笔记：《Playing Atari with Deep Reinforcement Learning》
10. 【论文翻译】Playing Atari with Deep Reinforcement Learning
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1. Deep Reinforcement Learning for List-wise Recommendations
2. 论文解析：Deep Reinforcement Learning for Page-wise Recommendations
3. 论文阅读：(LIRD)Deep Reinforcement Learning for List-wise Recommendations
4. 【论文笔记】Deep Reinforcement Learning for Page-wise Recommendations
5. 论文解析——Deep Reinforcement Learning of Region Proposal Networks for Object Detection
6. Deep Reinforcement Learning for Dialogue Generation
7. Deep Reinforcement Learning for Join Order Enumeration
8. Deep Residual Learning 论文解析
9. 论文笔记：《Playing Atari with Deep Reinforcement Learning》
10. 【论文翻译】Playing Atari with Deep Reinforcement Learning

>>更多相关文章<<