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1. Recommender_System Recommender_System Public

   推荐系统入门指南，全面介绍了工业级推荐系统的理论知识（王树森推荐系统公开课-基于小红书的场景讲解工业界真实的推荐系统），如何基于TensorFlow2训练模型，如何实现高性能、高并发、高可用的Golang推理微服务。Comprehensively introduced the theory of industrial recommender system, how to trainning …

   Jupyter Notebook 523 44

2. Classic_Papers_On_Recommender_System Classic_Papers_On_Recommender_System Public

   这里介绍了一些推荐系统经典论文，适合初学者学习使用。Here is my Google Scholar profile, where you can find some papers related to recommendation systems. If they are helpful to you, feel free to cite them.

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3. DNN_for_YouTube_Recommendations DNN_for_YouTube_Recommendations Public

   YouTube推荐系统深度学习召回排序算法, Deep Neural Networks for YouTube Recommendations. YouTubeDNN.

   Jupyter Notebook 121 2

4. Recommender_System_Inference_Services Recommender_System_Inference_Services Public

   Large scale recommender system inference Microservices and APIs （Dubbo 、gRPC and REST ） with Golang.

   Go 113 3

5. Machine_Learning_Sklearn_Examples Machine_Learning_Sklearn_Examples Public

   机器学习Sklearn入门指南。Machine Learning Sklearn API and Examples with Python3 and Jupyter Notebook.

   Jupyter Notebook 112 2

6. Deep_Learning_TensorFlow2_Examples Deep_Learning_TensorFlow2_Examples Public

   深度学习TensorFlow2入门指南。Deep Learning TensorFlow2 API and Examples with Python3 and Jupyter Notebook.

   Jupyter Notebook 100 2