Content personalization has become an indispensable part of our digital lives, influencing everything from the movies we watch to the products we buy. However, building an effective real-time recommendation engine poses certain challenges like adapting to changing user intent, handling cold starts, avoiding the popularity trap, and scaling to millions of users and products. In this session, we will dive deep into different recommendation system techniques, like collaborative and content-based filtering, and the practical steps involved in building such a solution, from data to deployment. Join me to learn how content personalization works and how you can incorporate a Netflix-like recommendation experience into your application!