Image de Google Jackets
Vue normale Vue MARC vue ISBD

Music recommendation algorithms and listener autonomy

Par : Contributeur(s) : Type de matériel : TexteTexteLangue : français Détails de publication : 2019. Sujet(s) : Ressources en ligne : Abrégé : Streaming music listening services are halfway between two previously existing devices – radio and record collections –, and two related types of agency – the consumer supported by music programming in the case of radio, and the amateur in the case of collection. They therefore offer a hybrid system of personalized services, adapted to users’ tastes, based on their past listening, through the use of recommendation systems. To what extent is the figure drawn by the interfaces reflected in the listeners’ real behaviour? To answer this question, we draw on the analysis of logs of musical activity from a random sample of 4,000 users of a musical platform, monitored over a period of five months. We first describe the distribution of listening, and show that while the diversity of consumption on the platform is greater than on other devices, listening remains highly concentrated on the most popular musicians. We then examine the use of recommendations, showing that it remains moderate and unevenly distributed, and that for musical discovery, it is still marginal, whether the orientation of the recommendations is towards mid-tail and long-tail music.
Tags de cette bibliothèque : Pas de tags pour ce titre. Connectez-vous pour ajouter des tags.
Evaluations
    Classement moyen : 0.0 (0 votes)
Nous n'avons pas d'exemplaire de ce document

87

Streaming music listening services are halfway between two previously existing devices – radio and record collections –, and two related types of agency – the consumer supported by music programming in the case of radio, and the amateur in the case of collection. They therefore offer a hybrid system of personalized services, adapted to users’ tastes, based on their past listening, through the use of recommendation systems. To what extent is the figure drawn by the interfaces reflected in the listeners’ real behaviour? To answer this question, we draw on the analysis of logs of musical activity from a random sample of 4,000 users of a musical platform, monitored over a period of five months. We first describe the distribution of listening, and show that while the diversity of consumption on the platform is greater than on other devices, listening remains highly concentrated on the most popular musicians. We then examine the use of recommendations, showing that it remains moderate and unevenly distributed, and that for musical discovery, it is still marginal, whether the orientation of the recommendations is towards mid-tail and long-tail music.

PLUDOC

PLUDOC est la plateforme unique et centralisée de gestion des bibliothèques physiques et numériques de Guinée administré par le CEDUST. Elle est la plus grande base de données de ressources documentaires pour les Étudiants, Enseignants chercheurs et Chercheurs de Guinée.

Adresse

627 919 101/664 919 101

25 boulevard du commerce
Kaloum, Conakry, Guinée

Réseaux sociaux

Powered by Netsen Group @ 2025