├── .gitignore ├── 01_Basic ├── 01_01_Recommend_flow.ipynb └── 01_02_AB_test.ipynb ├── 02_Recall ├── 02_01_Item_cf.ipynb ├── 02_02_Swing.ipynb ├── 02_03_User_cf.ipynb ├── 02_04_Discrete_feature.ipynb ├── 02_05_Matrix_completion.ipynb ├── 02_06_Twotower_model_and_training.ipynb ├── 02_07_Twotower_positive_and negtive_samples.ipynb ├── 02_08_Twotower_serving.ipynb ├── 02_09_Twotower_and_selfupervised_learning.ipynb ├── 02_10_Deep_retrieval.ipynb ├── 02_11_Geo_author_cache_recall.ipynb └── 02_12_Exposure_and_bloom_filter.ipynb ├── 03_Rank ├── 03_01_Multi_task_model.ipynb ├── 03_02_mmoe.ipynb ├── 03_03_Weight_score.ipynb ├── 03_04_Video_model.ipynb ├── 03_05_Ranking_model_features.ipynb └── 03_06_Preranking.ipynb ├── 04_Cross ├── 04_01_FM.ipynb ├── 04_02_DCN.ipynb ├── 04_03_LHUC.ipynb └── 04_04_SENet_Bilinear_cross.ipynb ├── 05_LastN ├── 05_01_User_behavior_sequence.ipynb ├── 05_02_DIN.ipynb └── 05_03_SIM.ipynb ├── 06_Rerank ├── 06_01_Diversity.ipynb ├── 06_02_MMR.ipynb ├── 06_03_Rerank_rules.ipynb ├── 06_04_DPP_01.ipynb └── 06_05_DPP_02.ipynb ├── 07_Cold_start ├── 07_01_Optimization_objectives_and_evaluation_metrics.ipynb ├── 07_02_Simple_recall.ipynb ├── 07_03_Clustering_recall.ipynb ├── 07_04_Look_a_like_recall.ipynb ├── 07_05_Network_flow_control.ipynb └── 07_06_Cold_start_abtest.ipynb ├── 08_Improvement ├── 08_01_Improvement_basic.ipynb ├── 08_02_Improvement_recall.ipynb ├── 08_03_Improvement_rank.ipynb ├── 08_04_Improvement_diversoty.ipynb ├── 08_05_Improvement_special_user_group.ipynb └── 08_06_Improvement_interaction_behavior.ipynb ├── LICENSE └── README.md /.gitignore: -------------------------------------------------------------------------------- 1 | Slides -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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-------------------------------------------------------------------------------- 1 | # 推荐系统 2 | 推荐系统从入门到精通，本项目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。以及一些Sklean和TensorFlow编程基础知识。Comprehensively introduced the theory of industrial recommender system base on deep learning, how to trainning models based on TensorFlow2, how to implement the high-performance、high-concurrency and high-available inference services base on Golang. 3 | 注意：第一部分的理论知识在本仓库，第二、三、四部分的代码在其他仓库，点击链接即可跳转。 4 | 5 | 6 | ## 注意 7 | 如果通过Github站内超链接打开Jupyter Notebook文件发生错误，可以点击根据 https://nbviewer.org 生成的“备用链接”间接访问对应文件。 8 | 或者通过以下链接访问整个项目的站外备用链接，注意点击站外备用链接里的非Jupyter Notebook格式文件会跳转回到Github仓库内： 9 | ● [**Recommender_System**](https://nbviewer.org/github/solidglue/Recommender_System/tree/master/) 10 | 11 | 12 | ## 一、推荐系统理论 (Recommender System Theory) 13 | 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，读书笔记。 14 | 15 | ### 01 概要 (Introduce) 16 | ● [**推荐系统的链路**](https://github.com/solidglue/Recommender_System/blob/master/01_Basic/01_01_Recommend_flow.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/01_Basic/01_01_Recommend_flow.ipynb)] 17 | ● [**AB测试**](https://github.com/solidglue/Recommender_System/blob/master/01_Basic/01_02_AB_test.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/01_Basic/01_02_AB_test.ipynb) 18 | 19 | ### 02 召回 (Retrieval) 20 | ● [**基于物品的协同过滤（ItemCF）**](https://github.com/solidglue/recommender_system/blob/master/02_Recall/02_01_Item_cf.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/02_Recall/02_01_Item_cf.ipynb) 21 | ● [**Swing召回通道**](https://github.com/solidglue/recommender_system/blob/master/02_Recall/02_02_Swing.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/02_Recall/02_02_Swing.ipynb) 22 | ● [**基于用户的协同过滤（UserCF）**](https://github.com/solidglue/recommender_system/blob/master/02_Recall/02_03_User_cf.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/02_Recall/02_03_User_cf.ipynb) 23 | ● [**离散特征处理**](https://github.com/solidglue/recommender_system/blob/master/02_Recall/02_04_Discrete_feature.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/02_Recall/02_04_Discrete_feature.ipynb) 24 | ● [**矩阵补充**](https://github.com/solidglue/recommender_system/blob/master/02_Recall/02_05_Matrix_completion.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/02_Recall/02_05_Matrix_completion.ipynb) 25 | ● [**双塔模型：模型和训练**](https://github.com/solidglue/recommender_system/blob/master/02_Recall/02_06_Twotower_model_and_training.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/02_Recall/02_06_Twotower_model_and_training.ipynb) 26 | ● [**双塔模型：正负样本**](https://github.com/solidglue/recommender_system/blob/master/02_Recall/02_07_Twotower_positive_and%20negtive_samples.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/02_Recall/02_07_Twotower_positive_and%20negtive_samples.ipynb) 27 | ● [**双塔模型：线上召回和更新**](https://github.com/solidglue/recommender_system/blob/master/02_Recall/02_08_Twotower_serving.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/02_Recall/02_08_Twotower_serving.ipynb) 28 | ● [**双塔模型+自监督学习**](https://github.com/solidglue/recommender_system/blob/master/02_Recall/02_09_Twotower_and_selfupervised_learning.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/02_Recall/02_09_Twotower_and_selfupervised_learning.ipynb) 29 | ● [**Deep Retrieval召回**](https://github.com/solidglue/Recommender_System/blob/master/02_Recall/02_10_Deep_retrieval.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/02_Recall/02_10_Deep_retrieval.ipynb) 30 | ● [**其他召回通道**](https://github.com/solidglue/recommender_system/blob/master/02_Recall/02_11_Geo_author_cache_recall.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/02_Recall/02_11_Geo_author_cache_recall.ipynb) 31 | ● [**曝光过滤和Bloom Filter**](https://github.com/solidglue/recommender_system/blob/master/02_Recall/02_12_Exposure_and_bloom_filter.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/02_Recall/02_12_Exposure_and_bloom_filter.ipynb) 32 | 33 | ### 03 排序 (Ranking) 34 | ● [**多目标排序模型**](https://github.com/solidglue/Recommender_System/blob/master/03_Rank/03_01_Multi_task_model.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/03_Rank/03_01_Multi_task_model.ipynb) 35 | ● [**MMoE**](https://github.com/solidglue/Recommender_System/blob/master/03_Rank/03_02_mmoe.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/03_Rank/03_02_mmoe.ipynb) 36 | ● [**预估分数融合**](https://github.com/solidglue/Recommender_System/blob/master/03_Rank/03_03_Weight_score.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/03_Rank/03_03_Weight_score.ipynb) 37 | ● [**视频播放建模**](https://github.com/solidglue/Recommender_System/blob/master/03_Rank/03_04_Video_model.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/03_Rank/03_04_Video_model.ipynb) 38 | ● [**排序模型的特征**](https://github.com/solidglue/Recommender_System/blob/master/03_Rank/03_05_Ranking_model_features.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/03_Rank/03_05_Ranking_model_features.ipynb) 39 | ● [**粗排模型**](https://github.com/solidglue/Recommender_System/blob/master/03_Rank/03_06_Preranking.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/03_Rank/03_06_Preranking.ipynb) 40 | 41 | ### 04 特征交叉 (Feature Cross) 42 | ● [**因子分解机FM**](https://github.com/solidglue/Recommender_System/blob/master/04_Cross/04_01_FM.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/04_Cross/04_01_FM.ipynb) 43 | ● [**深度交叉网络DCN**](https://github.com/solidglue/Recommender_System/blob/master/04_Cross/04_02_DCN.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/04_Cross/04_02_DCN.ipynb) 44 | ● [**LHUC网络结构**](https://github.com/solidglue/Recommender_System/blob/master/04_Cross/04_03_LHUC.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/04_Cross/04_03_LHUC.ipynb) 45 | ● [**SENet Bilinear Cross**](https://github.com/solidglue/Recommender_System/blob/master/04_Cross/04_04_SENet_Bilinear_cross.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/04_Cross/04_04_SENet_Bilinear_cross.ipynb) 46 | 47 | ### 05 行为序列 (User Behavior Sequence) 48 | ● [**用户行为序列建模**](https://github.com/solidglue/Recommender_System/blob/master/05_LastN/05_01_User_behavior_sequence.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/05_LastN/05_01_User_behavior_sequence.ipynb) 49 | ● [**DIN模型（注意力机制）**](https://github.com/solidglue/Recommender_System/blob/master/05_LastN/05_02_DIN.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/05_LastN/05_02_DIN.ipynb) 50 | ● [**SIM模型（长序列建模）**](https://github.com/solidglue/Recommender_System/blob/master/05_LastN/05_03_SIM.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/05_LastN/05_03_SIM.ipynb) 51 | 52 | ### 06 重排 (Re-ranking) 53 | ● [**物品相似性的度量、提升多样性的方法**](https://github.com/solidglue/Recommender_System/blob/master/06_Rerank/06_01_Diversity.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/06_Rerank/06_01_Diversity.ipynb) 54 | ● [**MMR多样性算法**](https://github.com/solidglue/Recommender_System/blob/master/06_Rerank/06_02_MMR.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/06_Rerank/06_02_MMR.ipynb) 55 | ● [**业务规则约束下的多样性算法**](https://github.com/solidglue/Recommender_System/blob/master/06_Rerank/06_03_Rerank_rules.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/06_Rerank/06_03_Rerank_rules.ipynb) 56 | ● [**DPP多样性算法（上）**](https://github.com/solidglue/Recommender_System/blob/master/06_Rerank/06_04_DPP_01.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/06_Rerank/06_04_DPP_01.ipynb) 57 | ● [**DPP多样性算法（下）**](https://github.com/solidglue/Recommender_System/blob/master/06_Rerank/06_05_DPP_02.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/06_Rerank/06_05_DPP_02.ipynb) 58 | 59 | ### 07 物品冷启动 (Cold Start) 60 | ● [**优化目标&评价指标**](https://github.com/solidglue/Recommender_System/blob/master/07_Cold_start/07_01_Optimization_objectives_and_evaluation_metrics.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/07_Cold_start/07_01_Optimization_objectives_and_evaluation_metrics.ipynb) 61 | ● [**简单的召回通道**](https://github.com/solidglue/Recommender_System/blob/master/07_Cold_start/07_02_Simple_recall.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/07_Cold_start/07_02_Simple_recall.ipynb) 62 | ● [**聚类召回**](https://github.com/solidglue/Recommender_System/blob/master/07_Cold_start/07_03_Clustering_recall.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/07_Cold_start/07_03_Clustering_recall.ipynb) 63 | ● [**Look-Alike召回**](https://github.com/solidglue/Recommender_System/blob/master/07_Cold_start/07_04_Look_a_like_recall.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/07_Cold_start/07_04_Look_a_like_recall.ipynb) 64 | ● [**流量调控**](https://github.com/solidglue/Recommender_System/blob/master/07_Cold_start/07_05_Network_flow_control.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/07_Cold_start/07_05_Network_flow_control.ipynb) 65 | ● [**冷启动的AB测试**](https://github.com/solidglue/Recommender_System/blob/master/07_Cold_start/07_06_Cold_start_abtest.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/07_Cold_start/07_06_Cold_start_abtest.ipynb) 66 | 67 | ### 08 推荐系统涨指标的方法 (Improvement) 68 | ● [**概述**](https://github.com/solidglue/Recommender_System/blob/master/08_Improvement/08_01_Improvement_basic.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/08_Improvement/08_01_Improvement_basic.ipynb) 69 | ● [**召回**](https://github.com/solidglue/Recommender_System/blob/master/08_Improvement/08_02_Improvement_recall.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/08_Improvement/08_02_Improvement_recall.ipynb) 70 | ● [**排序**](https://github.com/solidglue/Recommender_System/blob/master/08_Improvement/08_03_Improvement_rank.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/08_Improvement/08_03_Improvement_rank.ipynb) 71 | ● [**多样性**](https://github.com/solidglue/Recommender_System/blob/master/08_Improvement/08_04_Improvement_diversoty.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/08_Improvement/08_04_Improvement_diversoty.ipynb) 72 | ● [**特征用户人群**](https://github.com/solidglue/Recommender_System/blob/master/08_Improvement/08_05_Improvement_special_user_group.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/08_Improvement/08_05_Improvement_special_user_group.ipynb) 73 | ● [**交互行为（关注、转发和评论）**](https://github.com/solidglue/Recommender_System/blob/master/08_Improvement/08_06_Improvement_interaction_behavior.ipynb)     [~~*(备用链接)*~~](https://nbviewer.org/github/solidglue/Recommender_System/blob/master/08_Improvement/08_06_Improvement_interaction_behavior.ipynb) 74 | 75 | 76 | ## 二、TensorFlow2模型训练 (Model Trainning) 77 | 以"DNN_for_YouTube_Recommendations"模型和电影评分数据集（ml-1m）为基础，详尽的展示了如何基于TensorFlow2实现推荐系统排序模型。 78 | ● [**YouTube深度排序模型(多值embedding、多目标学习)**](https://github.com/solidglue/DNN_for_YouTube_Recommendations) 79 | 80 | 81 | ## 三、模型推理服务Golang (Inferecnce Services) 82 | 基于Goalng、Docker和微服务思想实现了高并发、高性能和高可用的推荐系统推理微服务，包括多种召回/排序服务，并提供多种接口访问方式（REST、gRPC和Dubbo）等，每日可处理上千万次推理请求。 83 | ● [**推荐系统推理微服务Golang**](https://github.com/solidglue/Recommender_System_Inference_Services) 84 | 85 | 86 | ## 四、编程基础 (Sklearn/TensorFlow) 87 | ● [**机器学习Sklearn入门教程**](https://github.com/solidglue/Machine_Learning_Sklearn_Examples) 88 | ● [**深度学习TensorFlow入门教程**](https://github.com/solidglue/Deep_Learning_TensorFlow2_Examples) 89 | 90 | ## 五、经典论文（Classic Papers） 91 | ● [**推荐系统经典论文**](https://github.com/solidglue/Classic_Papers_On_Recommender_System) 92 | 93 | --------------------------------------------------------------------------------