Adaptive Recommendation System Architecture

Implement a sophisticated recommendation engine that combines collaborative filtering, content-based approaches, and reinforcement learning. Design a modular system supporting multiple data sources, real-time model retraining, and personalized recommendation strategies. Include advanced feature engineering, support for cold start problems, and comprehensive A/B testing infrastructure.