1 citations · 1 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…
"Beyond the past": Leveraging Audio and Human Memory for Sequential Music Recommendation
Viet-Anh Tran, Bruno Sguerra, Gabriel Meseguer-Brocal +2
On music streaming services, listening sessions are often composed of a balance of familiar and new tracks. Recently, sequential recommender systems have adopted cognitive-informed…
Text2Playlist: Generating Personalized Playlists from Text on Deezer
Mathieu Delcluze, Antoine Khoury, Clémence Vast +4
The streaming service Deezer heavily relies on the search to help users navigate through its extensive music catalog. Nonetheless, it is primarily designed to find specific items a…
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…
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…