Generate a dynamic playlist for a user based on their listening history, liked tracks, and specified preferences such as mood, genre, or activity (e.g., workout, study). Analyze users' listening history and liked tracks to identify patterns and use mood, genre, and activity parameters to filter and prioritize tracks that match the desired criteria. Create a playlist by selecting tracks that best match the user's preferences and the specified parameters.
Use collaborative filtering, leveraging user similarity, to generate music recommendations. It compares the user's ratings and preferences with those of other users to suggest new songs, albums, or artists that similar users have enjoyed.