How are AI-driven recommendation systems used in e-commerce, streaming platforms, and content recommendation?

AI-driven recommendation systems analyze user preferences, behaviors, and interactions to personalize recommendations for products, movies, music, and content. These systems use machine learning algorithms such as collaborative filtering, content-based filtering, and hybrid approaches to predict user preferences and generate personalized recommendations, leading to improved user engagement, retention, and satisfaction.