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https://github.com/catqaq/stepintorecommendersystems

RecommenderSystems: from 0 to practice. 包括推荐系统实践和深度推荐系统两部分
https://github.com/catqaq/stepintorecommendersystems

deeplearning machinelearning-python pytorch recommendersystems

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RecommenderSystems: from 0 to practice. 包括推荐系统实践和深度推荐系统两部分

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README

          

# StepIntoRecommenderSystems

## 1.RecommendSystemPractice
- 入门:项亮-《推荐系统实践》2012年,比较经典,以基于邻域的协同过滤为主,大部分算法都是统计性的,只有部分算法有显式的学习过程.
- 其他:《集体智慧编程》、《Recommender systems handbook》、《推荐系统》等
- code: Thanks to [@Magic-Bubble](https://github.com/Magic-Bubble/RecommendSystemPractice). 我增加了一些注释并修改了小部分的代码

## 2.DeepRecommendSystem
## 目录
* [简介]()
* [1\. 深度推荐系统经典论文集](ClassicPapers/Introduction.md)
* [1.1 Youtube深度学习推荐系统论文](ClassicPapers/YoutubeDeepRecSys/highlights.md)
* 2\. 深度推荐系统(按深度学习技术分类)
* [2.1 Multilayer Perceptron Based Recommendation](DeepRecSys/2.1_MLP_RecSys.md)
* [2.2 Autoencoder Based Recommendation](DeepRecSys/2.2_AE_RecSys.md)
* [2.3 CNN Based Recommendation](DeepRecSys/2.3_CNN_RecSys.md)
* [2.4 RNN Based Recommendation](DeepRecSys/2.4_RNN_RecSys.md)
* [2.5 Restricted Boltzmann Machine Based Recommendation](DeepRecSys/2.5_RBM_RecSys.md)
* [2.6 Neural Attention Based Recommendation](DeepRecSys/2.6_Attention_RecSys.md)
* [2.7 Neural AutoRegressive Based Recommendation](DeepRecSys/2.7_AutoReg_RecSys.md)
* [2.8 Deep Reinforcement Learning for Recommendation](DeepRecSys/2.8_RL_RecSys.md)
* [2.9 GAN Based Recommendation](DeepRecSys/2.9_GAN_RecSys.md)
* [2.10 Deep Hybrid Models for Recommendation](DeepRecSys/2.9_Hybrid_RecSys.md)

持续更新中......