Advanced Contextual Recommendation System

Create a sophisticated recommendation framework that can generate personalized recommendations by integrating deep contextual understanding, user behavior dynamics, and advanced machine learning techniques. Develop an approach combining collaborative filtering, content-based methods, and contextual multi-armed bandit algorithms to create highly adaptive recommendation strategies. Include methodologies for handling cold start problems and managing recommendation diversity.