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# 复盘 4 | 广告系统核心技术模块
今天我准备了 18 张知识卡,和你一起来对广告系统核心技术模块的内容做一个复盘。
在这个模块我们一起学习了18篇文章讨论了5大话题包括广告系统架构、知名公司的广告点击率预估模型、出价系统、预算等。通过这些点我们勾勒出了这个领域的主线。希望你能沿着这条线去做更多探索。
提示:点击知识卡,可以一键到达你最想复习的那一篇文章。
## 广告系统架构
[![](https://static001.geekbang.org/resource/image/c6/47/c69f5c211f534704f697b7c8d883d247.jpg)](https://time.geekbang.org/column/article/8601)
[![](https://static001.geekbang.org/resource/image/b3/64/b3204838e3208e2686379e0b6b031e64.jpg)](https://time.geekbang.org/column/article/8691)
[![](https://static001.geekbang.org/resource/image/55/15/558051beb4226c533f4353fd26bf1815.jpg)](https://time.geekbang.org/column/article/8913)
## 广告点击率预估
[![](https://static001.geekbang.org/resource/image/d5/4c/d5a1c2f9c6c8c5027d3dd86403017b4c.jpg)](https://time.geekbang.org/column/article/370)
[![](https://static001.geekbang.org/resource/image/9a/98/9a318b5d184b280076221609affd3498.jpg)](https://time.geekbang.org/column/article/9037)
[![](https://static001.geekbang.org/resource/image/d3/1e/d32093305580245bcf6ba35d561bac1e.jpg)](https://time.geekbang.org/column/article/9069)
[![](https://static001.geekbang.org/resource/image/13/0b/13c9702f628b22bc7e9d7831cf13c40b.jpg)](https://time.geekbang.org/column/article/9264)
[![](https://static001.geekbang.org/resource/image/10/c6/103af5b5b13282ef903533a95dc472c6.jpg)](https://time.geekbang.org/column/article/9370)
[![](https://static001.geekbang.org/resource/image/5c/f0/5cca8045d1379542a03194b6d622faf0.jpg)](https://time.geekbang.org/column/article/9488)
## 出价系统
[![](https://static001.geekbang.org/resource/image/0a/d3/0a836af516a51efe8a57effacdf91ad3.jpg)](https://time.geekbang.org/column/article/9695)
[![](https://static001.geekbang.org/resource/image/9a/af/9a636c550f97ac07c5d3908ba4e3deaf.jpg)](https://time.geekbang.org/column/article/9747)
[![](https://static001.geekbang.org/resource/image/4d/33/4d66606cefcbe80b930cdb6f163bdc33.jpg)](https://time.geekbang.org/column/article/9864)
## 预算
[![](https://static001.geekbang.org/resource/image/8c/c9/8cd334df302b194d9b199e960a60c9c9.jpg)](https://time.geekbang.org/column/article/10029)
[![](https://static001.geekbang.org/resource/image/7a/66/7a2d3b680773ff2ca72e46baa4aced66.jpg)](https://time.geekbang.org/column/article/10147)
[![](https://static001.geekbang.org/resource/image/bf/b8/bf8202e1c4ec0f739d1d4dac4980c0b8.jpg)](https://time.geekbang.org/column/article/10182)
## 高级话题
[![](https://static001.geekbang.org/resource/image/85/7e/85df3edefbf8c41f337220054aee8a7e.jpg)](https://time.geekbang.org/column/article/10360)
[![](https://static001.geekbang.org/resource/image/3e/7c/3ee4555b2cd71200b18fe08fed96887c.jpg)](https://time.geekbang.org/column/article/10599)
[![](https://static001.geekbang.org/resource/image/77/c4/7727caade789065737ea51c01bd90cc4.jpg)](https://time.geekbang.org/column/article/10719)
## 积跬步以至千里
最后,恭喜你在人工智能领域的千里之行,又往前迈出了一步。
感谢你在专栏里的每一个留言,给了我很多思考和启发。期待能够听到你更多的声音,我们一起交流讨论。