# solidglue/Recommender\_System

<https://repo.masters-masters.com/en/repos/solidglue/Recommender_System>

[Home](https://repo.masters-masters.com/en) › [solidglue](https://repo.masters-masters.com/en/owners/solidglue) › [Recommender\_System](https://repo.masters-masters.com/en/repos/solidglue/Recommender_System)

solidglue/Recommender\_System has 735 stars on GitHub. Its RepoMasters card: Beta tier. 推荐系统入门指南，全面介绍了工业级推荐系统的理论知识（王树森推荐系统公开课-基于小红书的场景讲解工业界真实的推荐系统），如何基于TensorFl…

| Field | Value |
| --- | --- |
| Owner | [solidglue](https://repo.masters-masters.com/en/owners/solidglue) |
| Stars | 735 |
| Forks | 69 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2024 |
| Topics | recommender-systems |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [solidglue/Recommender\_System](https://github.com/solidglue/Recommender_System) |

## Repository

推荐系统入门指南，全面介绍了工业级推荐系统的理论知识（王树森推荐系统公开课-基于小红书的场景讲解工业界真实的推荐系统），如何基于TensorFlow2训练模型，如何实现高性能、高并发、高可用的Golang推理微服务。Comprehensively introduced the theory of industrial recommender system, how to trainning models based on TensorFlow2, how to implement the high-performance、high-concurrency and high-available…

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

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- [solidglue/Recommender\_System\_Inference\_Services · ★ 123 · Go · Prototype](https://repo.masters-masters.com/en/repos/solidglue/Recommender_System_Inference_Services)
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