19 citations · 20 across the 4 of their papers we have counts for
5 papers
Music Playlist Captioning at Scale with Large Language Models
Mathieu Delcluze, Léa Briand, Benjamin Chapus +2
Music streaming services such as Deezer often recommend personalized playlists to users. Playlist captioning, which involves describing these playlists in natural language, is esse…
Let's Get It Started: Fostering the Discoverability of New Releases on Deezer
Léa Briand, Théo Bontempelli, Walid Bendada +5
This paper presents our recent initiatives to foster the discoverability of new releases on the music streaming service Deezer. After introducing our search and recommendation feat…
Track Mix Generation on Music Streaming Services using Transformers
Walid Bendada, Théo Bontempelli, Mathieu Morlon +4
This paper introduces Track Mix, a personalized playlist generation system released in 2022 on the music streaming service Deezer. Track Mix automatically generates "mix" playlists…
Flow Moods: Recommending Music by Moods on Deezer
Théo Bontempelli, Benjamin Chapus, François Rigaud +3
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. No…
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders
Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus +2
On an artist's profile page, music streaming services frequently recommend a ranked list of "similar artists" that fans also liked. However, implementing such a feature is challeng…