Full Code of wangshusen/RecommenderSystem for AI

main 8c8796c560c1 cached

1 files

10.2 KB

3.9k tokens

1 requests

Download .txt

Repository: wangshusen/RecommenderSystem
Branch: main
Commit: 8c8796c560c1
Files: 1
Total size: 10.2 KB

Directory structure:
gitextract_cwlf_3qn/

└── README.md

================================================
FILE CONTENTS
================================================

================================================
FILE: README.md
================================================
# 工业界的推荐系统



1. **概要** [[讲义](https://github.com/wangshusen/RecommenderSystem/blob/main/Notes/01_Basics.pdf)]


    * 推荐系统的基本概念
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/01_Basics_01.pdf)]
    [[YouTube](https://youtu.be/5dTOPen28ts)]
    [[B站](https://www.bilibili.com/video/BV1PS4y1A7za)].

    * 推荐系统的链路
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/01_Basics_02.pdf)]
    [[YouTube](https://youtu.be/HMcCaG9RmnU)]
    [[B站](https://www.bilibili.com/video/BV1hF411M7b5)].

    * AB测试
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/01_Basics_03.pdf)]
    [[YouTube](https://youtu.be/7Jz3VY8SCR4)]
    [[B站](https://www.bilibili.com/video/BV1J44y1o7gf)].
    


2. **召回**
    
    * 基于物品的协同过滤（ItemCF）
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/02_Retrieval_01.pdf)]
    [[YouTube](https://youtu.be/QtmunNLeDvo)]
    [[B站](https://www.bilibili.com/video/BV1mA4y1Q7RN)].
    
    * Swing模型
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/02_Retrieval_02.pdf)]
    [[YouTube](https://youtu.be/DUUMNTDuJ3Q)]
    [[B站](https://www.bilibili.com/video/BV1DA4y1Q7rB)].
    
    * 基于用户的协同过滤（UserCF）
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/02_Retrieval_03.pdf)]
    [[YouTube](https://youtu.be/7O9zFMNdrZ8)]
    [[B站](https://www.bilibili.com/video/BV1HY4y1Y7P1)].
    
    * 离散特征处理
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/02_Retrieval_04.pdf)]
    [[YouTube](https://youtu.be/Wiqfn0BIcJs)]
    [[B站](https://www.bilibili.com/video/BV1pS4y1a7QT)].
    
    * 矩阵补充
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/02_Retrieval_05.pdf)]
    [[YouTube](https://youtu.be/phpIjr8_C7g)]
    [[B站](https://www.bilibili.com/video/BV1b34y1e7En)].
    
    * 双塔模型：模型和训练
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/02_Retrieval_06.pdf)]
    [[YouTube](https://youtu.be/2Mc10LZ-DB0)]
    [[B站](https://www.bilibili.com/video/BV1YA4y1D75Q)].
    
    * 双塔模型：正负样本
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/02_Retrieval_07.pdf)]
    [[YouTube](https://youtu.be/KOpl2cJyKOg)]
    [[B站](https://www.bilibili.com/video/BV133411T7ue)].
    
    * 双塔模型：线上服务
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/02_Retrieval_08.pdf)]
    [[YouTube](https://youtu.be/3qOvHfW1A-8)]
    [[B站](https://www.bilibili.com/video/BV1KY4y1h73Y)].

    * 双塔模型+自监督学习
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/02_Retrieval_09.pdf)]
    [[YouTube](https://youtu.be/Ra3MVhneR9E)]
    [[B站](https://www.bilibili.com/video/BV1v24y1B7JH)].
    
    * Deep Retrieval 召回
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/02_Retrieval_10.pdf)]
    [[YouTube](https://youtu.be/BYtzZ48hRFM)]
    [[B站](https://www.bilibili.com/video/BV1Fu4y1b7PL)].
    
    * 其它召回通道
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/02_Retrieval_11.pdf)]
    [[YouTube](https://youtu.be/7CKBjx7bw7k)]
    [[B站](https://www.bilibili.com/video/BV1m5411R7nd)].

    * 曝光过滤
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/02_Retrieval_12.pdf)]
    [[YouTube](https://youtu.be/cM76ZbkqrFU)]
    [[B站](https://www.bilibili.com/video/BV1sa4y137LF)]



3. **排序**

    * 多目标排序模型
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/03_Rank_01.pdf)]
    [[YouTube](https://youtu.be/kY4W46MQqsg)]
    [[B站](https://www.bilibili.com/video/BV19t4y1p7UM)].
    
    * Multi-gate Mixture-of-Experts (MMoE)
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/03_Rank_02.pdf)]
    [[YouTube](https://youtu.be/JIEwaPARjfk)]
    [[B站](https://www.bilibili.com/video/BV14Y411M74v)].
    
    * 预估分数融合
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/03_Rank_03.pdf)]
    [[YouTube](https://youtu.be/D2iqM2puJ2I)]
    [[B站](https://www.bilibili.com/video/BV1YT411578u)].
    
    * 播放时长建模
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/03_Rank_04.pdf)]
    [[YouTube](https://youtu.be/SiyvcJzr2bg)]
    [[B站](https://www.bilibili.com/video/BV1394y1277M)].
    
    * 推荐系统的特征
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/03_Rank_05.pdf)]
    [[YouTube](https://youtu.be/J7N4xjqg0rk)]
    [[B站](https://www.bilibili.com/video/BV1gN4y157TM)].
    
    * 粗排三塔模型
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/03_Rank_06.pdf)]
    [[YouTube](https://youtu.be/0CvouPv47SA)]
    [[B站](https://www.bilibili.com/video/BV1Dd4y1m7KT)].


    
4. **交叉结构**
    
    * Factorized Machine (FM)
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/04_Cross_01.pdf)]
    [[YouTube](https://youtu.be/exVPXVFPMDk)]
    [[B站](https://www.bilibili.com/video/BV15V4y1x7Ht)].
    
    * Deep & Cross Network (深度交叉网络)
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/04_Cross_02.pdf)]
    [[YouTube](https://youtu.be/yNeRO5m63JQ)]
    [[B站](https://www.bilibili.com/video/BV1LP411L7Z2)].
    
    * LHUC
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/04_Cross_03.pdf)]
    [[YouTube](https://youtu.be/TxIedW94hu0)]
    [[B站](https://www.bilibili.com/video/BV1jU4y1z7Tc)].
    
    * SENet & FiBiNET
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/04_Cross_04.pdf)]
    [[YouTube](https://youtu.be/nF37qtNvw1E)]
    [[B站](https://www.bilibili.com/video/BV1SY4y1M7bD)].




5. **用户行为序列建模** 

    * 用户行为序列特征
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/05_LastN_01.pdf)]
    [[YouTube](https://youtu.be/Stbc9goPKXQ)]
    [[B站](https://www.bilibili.com/video/BV1GG4y1B7Yh)].
    
    * DIN 模型
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/05_LastN_02.pdf)]
    [[YouTube](https://youtu.be/0hPep80Oy6k)]
    [[B站](https://www.bilibili.com/video/BV1bT411T7u4)].
        
    * SIM 模型
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/05_LastN_03.pdf)]
    [[YouTube](https://youtu.be/_4J9aF5KR84)]
    [[B站](https://www.bilibili.com/video/BV1Ze4y1B7JL)].



6. **多样性** [[讲义](https://github.com/wangshusen/RecommenderSystem/blob/main/Notes/06_Rerank.pdf)]
    
    * 多样性的度量
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/06_Rerank_01.pdf)]
    [[YouTube](https://youtu.be/uCIlk7N1dvk)]
    [[B站](https://www.bilibili.com/video/BV1ne4y1v7mC)].
    
    * MMR 算法
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/06_Rerank_02.pdf)]
    [[YouTube](https://youtu.be/tCa4yackga0)]
    [[B站](https://www.bilibili.com/video/BV1dV4y1V7Kg)].
    
    * 规则约束
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/06_Rerank_03.pdf)]
    [[YouTube](https://youtu.be/84kK1h0FS3Y)]
    [[B站](https://www.bilibili.com/video/BV1om4y1F7y5)].
    
    * DPP：数学基础
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/06_Rerank_04.pdf)]
    [[YouTube](https://youtu.be/HjpJeUSekKs)]
    [[B站](https://www.bilibili.com/video/BV1re411F7cp)].
    
    * DPP：多样性算法
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/06_Rerank_05.pdf)]
    [[YouTube](https://youtu.be/wi8xVHiZZr4)]
    [[B站](https://www.bilibili.com/video/BV1Md4y1c7uB)].




7. **物品冷启动** [[讲义](https://github.com/wangshusen/RecommenderSystem/blob/main/Notes/07_ColdStart.pdf)]

	 * 评价指标
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/07_ColdStart_01.pdf)]
    [[YouTube](https://youtu.be/EEQ4qwjezRc)]
    [[B站](https://www.bilibili.com/video/BV1eZ4y1a7tG)].
	 	 
    * 简单的召回通道
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/07_ColdStart_02.pdf)]
    [[YouTube](https://youtu.be/lboewzsA8DU)]
    [[B站](https://www.bilibili.com/video/BV1HY4y157Ri)].

    * 聚类召回
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/07_ColdStart_03.pdf)]
    [[YouTube](https://youtu.be/Tm4SlB9A8BQ)]
    [[B站](https://www.bilibili.com/video/BV1YT4y1q7zC)].
    
    * Look-Alike人群扩散
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/07_ColdStart_04.pdf)]
    [[YouTube](https://youtu.be/pjmRo8Uzzqg)]
    [[B站](https://www.bilibili.com/video/BV1U5411X7ud)].
    
    * 流量调控
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/07_ColdStart_05.pdf)]
    [[YouTube](https://youtu.be/QGD-1Feq1ZQ)]
    [[B站](https://www.bilibili.com/video/BV1vS4y1z7sC)].
    
    * 冷启动的AB测试
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/07_ColdStart_06.pdf)]
    [[YouTube](https://youtu.be/oEUi4mSAv8Q)]
    [[B站](https://www.bilibili.com/video/BV12341137Cq)].


8. **涨指标的方法** [[参考文献](https://arxiv.org/abs/2308.01204)]

    * 概述
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/08_Improvement_01.pdf)]
    [[YouTube](https://youtu.be/YptRKEZZ0gY)]
    [[B站](https://www.bilibili.com/video/BV1fc41167jK)].

    * 召回
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/08_Improvement_02.pdf)]
    [[YouTube](https://youtu.be/imi73gPNCFA)]
    [[B站](https://www.bilibili.com/video/BV13H4y127Tt)].
    
    * 排序
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/08_Improvement_03.pdf)]
    [[YouTube](https://youtu.be/2lXflLLEwfA)]
    [[B站](https://www.bilibili.com/video/BV1fQ4y1G72F)].
    
    * 多样性
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/08_Improvement_04.pdf)]
    [[YouTube](https://youtu.be/wW_BZ11hXOY)]
    [[B站](https://www.bilibili.com/video/BV1eN4y1z7vs)].

    * 特殊人群
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/08_Improvement_05.pdf)]
    [[YouTube](https://youtu.be/2hcM-jV84ho)]
    [[B站](https://www.bilibili.com/video/BV15g4y1m7P4)].

    * 交互行为
    [[slides](https://github.com/wangshusen/RecommenderSystem/blob/main/Slides/08_Improvement_06.pdf)]
    [[YouTube](https://youtu.be/CUpwivLDgEA)]
    [[B站](https://www.bilibili.com/video/BV1tg4y127rS)].

Download .txt

gitextract_cwlf_3qn/

└── README.md

Download .json

Condensed preview — 1 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (11K chars).

[
  {
    "path": "README.md",
    "chars": 10440,
    "preview": "# 工业界的推荐系统\n\n\n\n1. **概要** [[讲义](https://github.com/wangshusen/RecommenderSystem/blob/main/Notes/01_Basics.pdf)]\n\n\n    * 推荐"
  }
]

About this extraction

This page contains the full source code of the wangshusen/RecommenderSystem GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 1 files (10.2 KB), approximately 3.9k tokens. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.

Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.

Extract another repo