Streaming services recommend content to users through algorithms that analyze viewing habits, preferences, and behavior patterns. Using techniques such as collaborative filtering and content-based filtering, these algorithms identify trends and suggest titles that resonate with user interests. By evaluating factors like watch history, ratings, and saved lists, streaming services create personalized experiences that enhance user engagement. This not only keeps viewers engaged but also increases retention rates, making tailored recommendations a crucial aspect of the competitive streaming landscape.