Dynamic Recommendation Engine with Collaborative Filtering

Create a sophisticated recommendation system using advanced collaborative filtering and machine learning techniques in JavaScript. Implement multiple recommendation algorithms including matrix factorization, neural collaborative filtering, and hybrid approaches. Design a flexible system that can handle cold start problems, provide personalized recommendations, and continuously learn from user interactions. Include comprehensive evaluation metrics, recommendation explanation capabilities, and real-time performance tracking.