This template is a flowchart depicting a music playlist recommendation system. It begins with "Start" and then proceeds to "Collect User Preferences" and "Access Listening History". The data goes through "Pre - processing", followed by filtering relevant features and extracting features. The "Recommendation Engine" uses collaborative filtering to "Generate Playlist", which is then "Displayed to User". After that, there is a check for "User Feedback". If there is feedback, the system "Collects Ratings" and "Enhances Recommendations". If not, the process ends. This flowchart provides a clear visual representation of how a music - recommendation system works, integrating user data and feedback to continuously improve the playlists offered to users.
