Advanced Content Personalization Machine Learning Pipeline

Develop a comprehensive machine learning pipeline for content personalization that integrates user behavior tracking, predictive modeling, and real-time recommendation generation. The system must support A/B testing of recommendation algorithms, handle cold-start user scenarios, and maintain a feature store with versioned machine learning models. Include considerations for model drift detection, privacy-preserving machine learning techniques, and explainable AI components.