Advanced Content Recommendation Algorithm with Machine Learning

Develop a sophisticated content recommendation engine using ensemble machine learning techniques that combines collaborative filtering, content-based filtering, and deep learning models. Create a modular system that can integrate user interaction data, content metadata, and real-time viewing patterns. Implement A/B testing framework and explain how the recommendation accuracy will be measured and incrementally improved.