Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Bendada, Walid"'
Autor:
Briand, Léa, Bontempelli, Théo, Bendada, Walid, Morlon, Mathieu, Rigaud, François, Chapus, Benjamin, Bouabça, Thomas, Salha-Galvan, Guillaume
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 features dedicated to new releases, we outline our shift from editorial to
Externí odkaz:
http://arxiv.org/abs/2401.02827
Autor:
Bendada, Walid, Salha-Galvan, Guillaume, Hennequin, Romain, Bouabça, Thomas, Cazenave, Tristan
A prevalent practice in recommender systems consists in averaging item embeddings to represent users or higher-level concepts in the same embedding space. This paper investigates the relevance of such a practice. For this purpose, we propose an expec
Externí odkaz:
http://arxiv.org/abs/2308.12767
Autor:
Bendada, Walid, Bontempelli, Théo, Morlon, Mathieu, Chapus, Benjamin, Cador, Thibault, Bouabça, Thomas, Salha-Galvan, Guillaume
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 inspired by initial music tracks, allowing users to discover music si
Externí odkaz:
http://arxiv.org/abs/2307.03045
Music streaming services often aim to recommend songs for users to extend the playlists they have created on these services. However, extending playlists while preserving their musical characteristics and matching user preferences remains a challengi
Externí odkaz:
http://arxiv.org/abs/2304.09061
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, albums or artists. However, recommending relevant and personalized conte
Externí odkaz:
http://arxiv.org/abs/2106.03819
Media services providers, such as music streaming platforms, frequently leverage swipeable carousels to recommend personalized content to their users. However, selecting the most relevant items (albums, artists, playlists...) to display in these caro
Externí odkaz:
http://arxiv.org/abs/2009.06546