Adaptive Learning Content Recommendation Engine

Design a sophisticated TypeScript recommendation system for personalized learning content targeting individual student learning profiles. Develop a machine learning pipeline using TensorFlow.js with type-safe data models that can analyze student performance, learning style, and engagement metrics. Create modular recommendation strategies that support multiple learning domains (math, language, sciences) with configurable complexity levels. Implement robust logging, A/B testing infrastructure, and real-time model retraining capabilities.