Microsoft Recommenders

An open-source repository providing Python utilities and best practices for building production-ready recommendation systems.

Microsoft Recommenders provides a comprehensive suite of tools for the end-to-end development of recommendation engines. It features implementations of industry-standard algorithms (including ALS, LightGBM, and SAR) alongside deep learning models like NCF and DKN. The codebase includes standardized scripts for data preparation, model evaluation (using metrics like MAP and NDCG), and operationalization on Azure Machine Learning. By offering 50+ Jupyter notebook examples, the project enables developers to accelerate the deployment of personalized ranking and retrieval systems.

https://github.com/microsoft/recommenders