Get Started with Microsoft Recommenders

Jupyter notebooks for building recommendation systems with state-of-the-art algorithms.

Getting Started

The Microsoft Recommenders team maintains comprehensive docs that cover installation, configuration, and common patterns.

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Our full tool profile covers Microsoft Recommenders's strengths, weaknesses, pricing, and how it compares to alternatives.

Developers looking to implement state-of-the-art recommendation algorithms in their projects.

Data scientists who need comprehensive examples and best practices for building recommendation systems.

Teams working on personalized user experiences across various platforms.