Intelligent Educational Resource Recommendation Microservice

Develop a sophisticated microservices-based recommendation API that provides intelligent, context-aware suggestions for educational resources across multiple learning platforms. Create a system that can analyze student learning styles, performance history, and institutional curriculum to generate highly personalized learning recommendations. Implement advanced machine learning models, support for real-time recommendation updates, and comprehensive tracking of recommendation effectiveness. Include mechanisms for handling diverse content types and supporting complex institutional learning goals.