Intelligent Learning Resource Recommendation System

Develop a sophisticated recommendation engine for suggesting personalized learning resources using advanced machine learning techniques. Create a comprehensive feature engineering pipeline that incorporates student performance, learning history, and resource metadata. Implement hybrid recommendation algorithms combining content-based and collaborative filtering approaches. Design an explainable AI system that provides transparent recommendation rationales.