To implement a recommendation system using collaborative filtering in Java, I would start by collecting user-item interaction data to create a user-item matrix. Then, I’d apply techniques like user-based or item-based collaborative filtering using libraries such as Apache Commons Math or implementing custom algorithms to calculate similarity metrics and generate recommendations based on similar users or items.