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Flow Moods: Recommending Music by Moods on Deezer. (arXiv:2207.11229v1 [cs.IR])
July 25, 2022, 1:11 a.m. | Théo Bontempelli, Benjamin Chapus, François Rigaud, Mathieu Morlon, Marin Lorant, Guillaume Salha-Galvan
cs.LG updates on arXiv.org arxiv.org
The music streaming service Deezer extensively relies on its Flow algorithm,
which generates personalized radio-style playlists of songs, to help users
discover musical content. Nonetheless, despite promising results over the past
years, Flow used to ignore the moods of users when providing recommendations.
In this paper, we present Flow Moods, an improved version of Flow that
addresses this limitation. Flow Moods leverages collaborative filtering, audio
content analysis, and mood annotations from professional music curators to
generate personalized mood-specific playlists at …
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