Let’s Get It Started: Fostering the Discoverability of New Releases on Deezer
2024; Springer Science+Business Media; Linguagem: Inglês
10.1007/978-3-031-56069-9_33
ISSN1611-3349
AutoresLéa Briand, Théo Bontempelli, Walid Bendada, Mathieu Morlon, F. Rigaud, Benjamin Chapus, Thomas Bouabça, Guillaume Salha,
Tópico(s)Data Stream Mining Techniques
ResumoThis paper presents our recent initiatives to foster the discoverability of new releases on the music streaming service Deezer. After introducing our search and recommendation features dedicated to new releases, we outline our shift from editorial to personalized release suggestions using cold start embeddings and contextual bandits. Backed by online experiments, we discuss the advantages of this shift in terms of recommendation quality and exposure of new releases on the service.
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