Content recommendation is a technology that suggests articles, videos, or products to users based on their interests and behavior. For example, when you watch a movie on Netflix, the platform analyzes your viewing history and recommends similar films or shows you might enjoy. This personalized approach helps users discover new content that aligns with their preferences. These recommendations are powered by algorithms that consider various factors, such as user ratings, viewing patterns, and even what similar users liked. By using content recommendation systems, companies like YouTube and Amazon can enhance user engagement and satisfaction, making it easier for people to find what they love.