Real-Time Educational Resource Recommendation Engine

Build a sophisticated recommendation system using collaborative filtering and content-based algorithms to suggest personalized educational resources. Create a modular Python framework that can integrate with multiple learning management systems, track student interactions, and generate dynamic, context-aware learning recommendations. Implement advanced machine learning models for preference prediction and resource matching.