A user-centered investigation of personal music tours

G Gabbolini, D Bridge - Proceedings of the 16th ACM Conference on …, 2022 - dl.acm.org
Streaming services use recommender systems to surface the right music to users. Playlists
are a popular way to present music in a list-like fashion, ie as a plain list of songs. An …

Interpretable Music Recommender Systems

D Afchar - 2023 - theses.hal.science
''Why do they keep recommending me this music track?''''Why did our system recommend
these tracks to users?''Nowadays, streaming platforms are the most common way to listen to …

Vers un système de recommandation explicable pour l'orientation scolaire

N Hubert, A Brun, D Monticolo - Workshop EXPLAIN'AI-EGC Blois 2022, 2022 - hal.science
L'orientation scolaire est une problématique pour nombre de lycéens et d'étudiants qui se
sentent désorientés devant la pléthore de cursus proposés. Afin de les guider dans leur …

Organization of Electronic Dance Music by Dimensionality Reduction

V Tideman - 2022 - diva-portal.org
This thesis aims to produce a similarity metric for tracks of the genre: Electronic Dance
Music, by taking a high-dimensional data representation of each track and then project it to a …

Metric learning for video to music recommendation

L Prétet - 2022 - theses.hal.science
Music enhances moving images and allows to efficiently communicate emotion or narrative
tension, thanks to cultural codes common to the filmmakers and viewers. A successful …

[PDF][PDF] Analysis of the structure similarity of musical scores

AD Ghițeanu, Ș Trăușan-Matu - rochi.utcluj.ro
The field of music analysis has expanded significantly in response to recent developments
in artificial intelligence and machine learning. The research presented herein is focused on …