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Jesse-csj
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推荐系统/计算广告相关仓库,个人博客https://jesse-csj.github.io/

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TensorFlow Practice For Recommendation System

1. 介绍

机器学习与深度学习系列(ctr预估):
仓库主要分享推荐系统相关论文和一些关于推荐的传统模型和深度模型学习实践代码的Demo,持续更新中。

2. 目录

2.1 广告CTR预估模型(ctrofrecommendation:已更新)

| shllow model | deep model | | :----------: | :---------: | | GBDT + LR | FNN | | MLP(LS-PLM) | PNN | | FM | Wide & Deep | | FFM | DeepFM | | AFM | NFM | | AutoInt | DCN | | ... | DIEN | | | DSIN |

2.2 推荐系统

  • [x] Deep Neural Network for Youtube Recommendations

2.3 深度学习

  • [x] LSTM原理与实践

2.4 学习笔记(related_papers:更新中)

  • [ ] Batch Normalization

  • [ ] TensorLayer

  • [x] 推荐相关已读论文

模型中的推荐相关数据集下载:微云链接:https://share.weiyun.com/2zOvtF2s 密码:8nddnd

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