# PaddlePaddle/ElasticCTR

<https://repo.masters-masters.com/en/repos/PaddlePaddle/ElasticCTR>

[Home](https://repo.masters-masters.com/en) › [PaddlePaddle](https://repo.masters-masters.com/en/owners/PaddlePaddle) › [ElasticCTR](https://repo.masters-masters.com/en/repos/PaddlePaddle/ElasticCTR)

PaddlePaddle/ElasticCTR has 188 stars on GitHub. Its RepoMasters card: Prototype tier. ElasticCTR，即飞桨弹性计算推荐系统，是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度…

| Field | Value |
| --- | --- |
| Owner | [PaddlePaddle](https://repo.masters-masters.com/en/owners/PaddlePaddle) |
| Stars | 188 |
| Forks | 45 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2019 |
| Topics | k8s, recommender-system, hdfs, ctr, personalization, ranking |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [PaddlePaddle/ElasticCTR](https://github.com/PaddlePaddle/ElasticCTR) |

## Repository

ElasticCTR，即飞桨弹性计算推荐系统，是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务，帮助用户在Kubernetes环境中一键完成推荐系统部署，具备高性能、工业级部署、端到端体验的特点，并且作为开源套件，满足二次深度开发的需求。

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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