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# TensorFlow_Practice For Recommendation System | ||
# TensorFlow_Practice For Recommendation system | ||
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# 1. 介绍 | ||
机器学习与深度学习系列~ | ||
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,持续更新中。 | ||
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# 2. 目录 | ||
## 2.1 广告CTR预估系列 | ||
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- [x] LR(Logistic Regression) + GBDT | ||
- [x] MLP(LS-PLM) | ||
- [x] FM | ||
- [x] FFM | ||
- [x] FNN | ||
- [x] PNN(IPNN OPNN PNN*) | ||
- [x] Wide & Deep | ||
- [x] DeepFM | ||
- [x] DIN | ||
- [x] NFM | ||
- [x] AFM | ||
- [x] DCN-Deep Cross Network | ||
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## 2.2 推荐系统 | ||
- [x] Deep Neural Network for Youtube Recommendations | ||
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## 2.3 深度学习 | ||
- [x] LSTM原理与实践 | ||
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## 2.4 学习笔记 | ||
- [x] Batch Normalization | ||
- [x] TensorLayer | ||
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基于tensorflow的关于推荐的传统模型及深度模型demo |