# 推荐系统基础

* 第一部分：数据篇
* 第二部分：匹配篇
  * 第X章：经典协同过滤
  * 第X章：基本embedding算法
  * 第X章：Graph Embedding
* 第三部分：模型篇
  * 第X章：因果推断
  * 第X章：点击率模型
  * 第X章：转化率模型
  * 第X章：离线效果评估
* 第四部分：排序篇
  * 第X章：多样性算法
  * 第X章：探索与利用
  * 第X章：在线效果评估
* 第五部分：工程篇
  * 第X章：模型压缩
  * 第X章：动态资源分配
  *

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