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Chapitre D'ouvrage Année : 2016

Music Recommendation

Résumé

Until recently, music discovery was a difficult task. We had to listen to the radio hoping one track will be interesting, actively browse the repertoire of a given artist, or randomly try some new artists from time to time. With the emergence of personalized recommendation systems, we can now discover music just by letting music platforms play tracks for us. In another scenario, when we wanted to prepare some music for a particular event, we had to carefully browse our music collection and spend significant amounts of time selecting the right tracks. Today, it has become possible to simply specify some desired criteria like the genre or mood and an automated system will propose a set of suitable tracks.

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hal-03012539 , version 1 (18-11-2020)

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  • HAL Id : hal-03012539 , version 1

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Dietmar Jannach, Geoffray Bonnin. Music Recommendation. Music Data Analysis: Foundations and Applications, 2016. ⟨hal-03012539⟩
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