Improving Your Recommendations on Our Apps with AI at Meta

Meta is leveraging AI to enhance recommendation systems across its platforms. This involves using complex algorithms to analyze user behavior and preferences, providing more personalized content. The goal is to improve user engagement and overall experience. To achieve this, Meta likely employs techniques such as collaborative filtering, content-based filtering, and deep learning models. These methods help in understanding user interactions and predicting future preferences.