An Online Music Recommendation System Based on Annotations about Listeners' Preference and Situation
Abstract
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.
1 Introduction
2 Playlist Recommendation System
Fugure1: System Architecture
Fugure2: Triple feature space
2.1 Estimation of similarity between musical piece using lyrics and annotation
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2.2 Collaborative filtering
Fugure4: Overview of collaborative filtering
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2.3 Transcoding
Fugure7:
2.4 Interaction
Fugure8: An example of generated playlist
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3 Pilot Study
Fugure10: The result of experimentation