A Python library for hybrid recommendation systems integrating user and item metadata.
Visit LightFMLightFM is a Python library that implements various recommendation algorithms for both implicit and explicit feedback. It allows the incorporation of user and item metadata into matrix factorization models, enabling recommendations for new users and items. Designed for ease of use and efficiency, LightFM is suitable for developers and data scientists building recommendation systems.