The data flow diagram for a movie recommendation system shows how users receive personalized movie suggestions. Users can sign up, explore movies, rate them, and give feedback. The system keeps track of watch history. It also maintains user profiles. Then, it uses an algorithm to suggest recommendations. It also handles ratings and reviews. This helps make recommendations fit user preferences. This DFD highlights how data analysis and user feedback shape a personalized, engaging experience. This approach boosts user satisfaction and keeps them engaged with the platform.
