# jc-LeeHub/Recommend-System-tf2.0

<https://repo.masters-masters.com/en/repos/jc-LeeHub/Recommend-System-tf2.0>

[Home](https://repo.masters-masters.com/en) › [jc-LeeHub](https://repo.masters-masters.com/en/owners/jc-LeeHub) › [Recommend-System-tf2.0](https://repo.masters-masters.com/en/repos/jc-LeeHub/Recommend-System-tf2.0)

jc-LeeHub/Recommend-System-tf2.0 has 728 stars on GitHub. Its RepoMasters card: Beta tier. 原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀…

| Field | Value |
| --- | --- |
| Owner | [jc-LeeHub](https://repo.masters-masters.com/en/owners/jc-LeeHub) |
| Stars | 728 |
| Forks | 229 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | fm, ffm, widedeep, deepfm, fnn, pnn, dien, dsin, afm, dcn |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [jc-LeeHub/Recommend-System-tf2.0](https://github.com/jc-LeeHub/Recommend-System-tf2.0) |

## Repository

原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
