recommenders-team/recommenders

[](https://github.com/recommenders-team/recommenders/actions/workflows/pages/pages-build-deployment) [](https://github.com/recommenders-team/recommenders/blob/main/LICENSE) [](https://github.com/psf/black) [](https://pypi.org/project/recommenders) [](https://pypi.org/project/recommenders) [](https://join.slack.com/t/lfaifoundation/sharedinvite/zt-2iyl7zyya-g5rOO5K518CBoevyi28W6w) We reached 20,000 stars!! We are happy to announce that we have reached 20,000 stars on GitHub! Thank you for your support and contributions to the Recommenders project. We are excited to continue building and improving this project with your help. Check out the release Recommenders 1.2.1! We fixed a lot of bugs due to dependencies, improved security, reviewed the notebooks and the libraries. Recommenders objective is to assist researchers, developers and enthusiasts in prototyping, experimenting with and bringing to production a range of classic and state-of-the-art recommendation systems. Recommenders is a project under the Linux Foundation of AI and Data. This repository contains examples and best practices for building recommendation systems, provided as Jupyter notebooks. The examples detail our learnings on five key tasks: Several utilities are provided in recommenders to support common tasks such as loading datasets in the format expected by…