Depict or Discern ? Fingerprinting Musical Taste

Kristina Matrosova (1, 2) , Manuel Moussallam (3) , Thomas Louail (1) , Olivier Bodini (2)

1 GC (UMR_8504) - Géographie-cités
2 LIPN - Laboratoire d'Informatique de Paris-Nord
3 Deezer Research

We try to build a musical taste fingerprint based on declared preferences of users from a music streaming service. We propose two distinct methods, that turn out to be conflicting : one that captures the uniqueness,and one that pictures the very essence of one's preferences.

Mots clés: POSTER; PARIS team

Domaines: Réseaux sociaux et d'information [cs.SI]; Ordinateur et société [cs.CY]; Recherche d'information [cs.IR]

Kristina Matrosova, Manuel Moussallam, Thomas Louail, Olivier Bodini. Depict or Discern ? Fingerprinting Musical Taste. SysMus'22, Sep 2022, Ghent, Belgium. . ⟨hal-03811319⟩