Wide &Deep Learning for Recommender Systems
本文思路整理如下： 一， Contribution 二， 实验 实际需求 训练数据 实验环境 2.1本文模型 2.1.1 模型输入 2.1.2 模型训练 2.1.3 模型输出 2.2 实验结果 《Wide & Deep Learning for Recommender Systems》 目的：采用Wide &deep构建模型，从而得以更精准做Google Play推荐。 论文信息：Go
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- 1. Wide & Deep Learning for Recommender Systems
- 2. Wide & Deep Learning for Recommender Systems论文笔记
- 3. 《Wide & Deep Learning for Recommender Systems》论文总结
- 4. 论文笔记 - Wide & Deep Learning for Recommender Systems
- 5. #Paper Reading# Wide & Deep Learning for Recommender Systems
- 6. 论文阅读：《Wide & Deep Learning for Recommender Systems》
- 7. Wide & Deep Learning for Recommender Systems 翻译
- 8. 论文笔记：Wide & Deep Learning for Recommender Systems
- 9. Wide & Deep Learning for Recommender Systems 模型实践
- 10. （推荐系统）Wide&Deep算法：Wide & Deep Learning for Recommender Systems
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相关文章
- 1. Wide & Deep Learning for Recommender Systems
- 2. Wide & Deep Learning for Recommender Systems论文笔记
- 3. 《Wide & Deep Learning for Recommender Systems》论文总结
- 4. 论文笔记 - Wide & Deep Learning for Recommender Systems
- 5. #Paper Reading# Wide & Deep Learning for Recommender Systems
- 6. 论文阅读：《Wide & Deep Learning for Recommender Systems》
- 7. Wide & Deep Learning for Recommender Systems 翻译
- 8. 论文笔记：Wide & Deep Learning for Recommender Systems
- 9. Wide & Deep Learning for Recommender Systems 模型实践
- 10. （推荐系统）Wide&Deep算法：Wide & Deep Learning for Recommender Systems