Scalable Academic Resource Recommendation Engine

Build a sophisticated database architecture for an intelligent academic resource recommendation system using machine learning-ready data structures. Design a Laravel-based schema that captures detailed learning interaction metadata, supports complex recommendation algorithms, and provides efficient storage for student learning profiles. Implement a flexible taxonomy that allows dynamic categorization of educational resources across multiple dimensions.