Netflix recommendation system

Netflix’s recommendation system analyzes your viewing history, preferences, and browsing behavior to predict what you might enjoy next. It uses algorithms that identify patterns and similarities among users and content, combining this with data such as genre, actors, and viewing times. By constantly learning from your interactions—what you watch, rate, or skip—it personalizes suggestions tailored to your tastes. This system aims to enhance your viewing experience by presenting relevant content, making it easier to discover shows and movies that match your interests without you having to search extensively.