An Online Music Recommendation System Based on Annotations about Listeners' Preference and Situation
Automatic playlist generation is one of the powerfulintermediaries for music providing services. Many people can be promotedto music contents.In this paper, we propose a playlist generation scheme. By using lyricsand annotation, musical similarity and user's similarity is found. Thenit generates a playlist according to a user's preference and situation.Additionally, the user can provide a feedback such as a favorite music andwhether the playlist is recommendable. The system transform thecharacteristic values concerning the user's preference and situation sothat it adapts to each user.