MALL: a life log based music recommendation system and portable music player

We may like to listen to particular types of tunes under the particular situation or environment, such as events, weather, time, and place. However, it is not always easy to manually choose such particular types of tunes just by looking at metadata such as titles or artist names. It is effective and enjoyable if such tunes are automatically recommended after learning the tendency of the users. This paper presents MALL (Music Adviser with Life Log), a life log based music recommendation system and portable music player. The system records the history of listened tunes with the situation and environment on the Android-based portable music player. It then discovers association rules between the situation or environments and musical feature values of the tunes. Finally, the system recommends particular types of tunes based on the discovered association rules. We names this system MALL because it advises the tunes based on the life logs of the users.

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