LightFM is a Python library designed for creating recommendation systems using hybrid approaches that combine both content and collaborative data. Widely used in production pipelines at companies like Lyst, LightFM is particularly suited for building personalized product or content recommendations where user and item metadata are available. It is aimed at data scientists, machine learning practitioners, and product engineers working with large-scale user-item interaction datasets.
Visit LightFM's official website for product details and getting started.
Comprehensive guide to using LightFM, including installation and examples.
Access the source code, report issues, and contribute to the LightFM project.