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# Fun-Rec
# Fun-Rec
本教程主要是针对具有机器学习基础并想找推荐算法岗位的同学，由推荐算法基础、推荐算法入门赛、新闻推荐项目及推荐算法面经组成，形成了一个完整的从基础到实战再到面试的闭环。主要分为三个阶段，分别是推荐系统基础、推荐系统进阶和推荐算法面经，每个阶段的具体内容如下：
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- [2.1.4 特征工程](https://github.com/datawhalechina/fun-rec/blob/master/docs/%E7%AC%AC%E4%BA%8C%E7%AB%A0%20%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/2.1%E7%AB%9E%E8%B5%9B%E5%AE%9E%E8%B7%B5/jupyter/2.4%20%E7%89%B9%E5%BE%81%E5%B7%A5%E7%A8%8B.ipynb)
- [2.1.5 排序模型&模型融合](https://github.com/datawhalechina/fun-rec/blob/master/docs/%E7%AC%AC%E4%BA%8C%E7%AB%A0%20%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/2.1%E7%AB%9E%E8%B5%9B%E5%AE%9E%E8%B7%B5/jupyter/2.5%20%E6%8E%92%E5%BA%8F%E6%A8%A1%E5%9E%8B%2B%E6%A8%A1%E5%9E%8B%E8%9E%8D%E5%90%88.ipynb)
- **2.2 新闻推荐系统实践**
- **[2.2.0 新闻推荐系统流程的构建视频讲解](https://datawhale.feishu.cn/minutes/obcnzns778b725r5l535j32o)**
- **2.2.1 离线物料系统的构建**
- [2.2.1.1 Mysql基础](https://github.com/datawhalechina/fun-rec/blob/master/docs/%E7%AC%AC%E4%BA%8C%E7%AB%A0%20%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/2.2%E6%96%B0%E9%97%BB%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/docs/2.2.1.1%20Mysql%E5%9F%BA%E7%A1%80.md)
- [2.2.1.2 MongoDB基础](https://github.com/datawhalechina/fun-rec/blob/master/docs/%E7%AC%AC%E4%BA%8C%E7%AB%A0%20%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/2.2%E6%96%B0%E9%97%BB%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/docs/2.2.1.2%20MongoDB%E5%9F%BA%E7%A1%80.md)
- [2.2.1.3 Redis基础](https://github.com/datawhalechina/fun-rec/blob/master/docs/%E7%AC%AC%E4%BA%8C%E7%AB%A0%20%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/2.2%E6%96%B0%E9%97%BB%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/docs/2.2.1.3%20Redis%E5%9F%BA%E7%A1%80.md)
- [2.2.1.4 Scrapy基础及新闻爬取实战](https://github.com/datawhalechina/fun-rec/blob/master/docs/%E7%AC%AC%E4%BA%8C%E7%AB%A0%20%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/2.2%E6%96%B0%E9%97%BB%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/docs/2.2.1.4%20scrapy%E5%9F%BA%E7%A1%80%E5%8F%8A%E6%96%B0%E9%97%BB%E7%88%AC%E5%8F%96%E5%AE%9E%E6%88%98.md)
- [2.2.1.5 自动化构建用户及物料画像](https://github.com/datawhalechina/fun-rec/blob/master/docs/%E7%AC%AC%E4%BA%8C%E7%AB%A0%20%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/2.2%E6%96%B0%E9%97%BB%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/docs/2.2.1.5%20%E8%87%AA%E5%8A%A8%E5%8C%96%E6%9E%84%E5%BB%BA%E7%94%A8%E6%88%B7%E5%8F%8A%E7%89%A9%E6%96%99%E7%94%BB%E5%83%8F.md)
- **2.2.2 前后端基础及交互**
- [2.2.2.1 前端基础及Vue实战](https://github.com/datawhalechina/fun-rec/blob/master/docs/%E7%AC%AC%E4%BA%8C%E7%AB%A0%20%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/2.2%E6%96%B0%E9%97%BB%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/docs/2.2.2.1%20%E5%89%8D%E7%AB%AF%E5%9F%BA%E7%A1%80%E5%8F%8AVue%E5%AE%9E%E6%88%98.md)
- [2.2.2.2 flask简介及基础](https://github.com/datawhalechina/fun-rec/blob/master/docs/%E7%AC%AC%E4%BA%8C%E7%AB%A0%20%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/2.2%E6%96%B0%E9%97%BB%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/docs/2.2.2.2%20flask%E7%AE%80%E4%BB%8B%E5%8F%8A%E5%9F%BA%E7%A1%80.md)
- [2.2.2.3 前后端交互](https://github.com/datawhalechina/fun-rec/blob/master/docs/%E7%AC%AC%E4%BA%8C%E7%AB%A0%20%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/2.2%E6%96%B0%E9%97%BB%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/docs/2.2.2.3%20%E5%89%8D%E5%90%8E%E7%AB%AF%E4%BA%A4%E4%BA%92.md)
- **2.2.3 推荐流程的构建**
- **[2.2.3 推荐流程的构建](https://github.com/datawhalechina/fun-rec/blob/master/docs/%E7%AC%AC%E4%BA%8C%E7%AB%A0%20%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/2.2%E6%96%B0%E9%97%BB%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/docs/2.2.3.1%20%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E6%B5%81%E7%A8%8B%E7%9A%84%E6%9E%84%E5%BB%BA.md)**
- [2.2.3.1 推荐系统流程构建](https://github.com/datawhalechina/fun-rec/blob/master/docs/%E7%AC%AC%E4%BA%8C%E7%AB%A0%20%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/2.2%E6%96%B0%E9%97%BB%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E5%AE%9E%E6%88%98/docs/2.2.3.1%20%E6%8E%A8%E8%8D%90%E7%B3%BB%E7%BB%9F%E6%B5%81%E7%A8%8B%E7%9A%84%E6%9E%84%E5%BB%BA.md)
- **2.2.5 召回**
- 2.2.5.1 规则类召回