Advanced Recommender System with Contextual Bandits

Develop a sophisticated recommender system using contextual multi-armed bandit algorithms and advanced machine learning techniques. Create a Python solution that can provide personalized recommendations with real-time learning and exploration-exploitation balance. Implement Thompson sampling, deep learning embeddings, and adaptive recommendation strategies. Design a system that can handle cold-start problems and provide interpretable recommendation reasoning.