1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps
Léa Briand, Guillaume Salha-Galvan, Walid Bendada +2
Music streaming services heavily rely on recommender systems to improve their users' experience, by helping them navigate through a large musical catalog and discover new songs, al…