Music Recommender Systems: A Review Centered on Biases

Y Ospitia-Medina, S Baldassarri, C Sanz… - Advances in Speech and …, 2022 - Springer
Although there have been significant developments in music recommender systems (MRS),
artists interested in promoting their artistic career and listeners interested in exploring new …

Music recommendation using dynamic feedback and content-based filtering

H Magadum, HK Azad, H Patel - Multimedia Tools and Applications, 2024 - Springer
The internet has become inundated with vast amounts of information, making it increasingly
difficult for users to find precise and reliable content in their respective domains …

Collecting streaming music increases listening enjoyment

O Bergman, N Gradovitch - Personal and Ubiquitous Computing, 2023 - Springer
Streaming music application users can collect music (eg, by “liking” songs or adding them to
playlists) at no additional cost. However, most people reduced their collection size …

[PDF][PDF] Desarrollo de un modelo de elicitación de emociones a partir de las características de la música. Generación de un sistema recomendador.

YO Medina - 2024 - researchgate.net
La computación afectiva, como área de investigación, ha logrado un importante desarrollo
en los últimos años. Las actuales investigaciones han demostrado su utilidad, permitiendo …

Sustavi preporuka glazbe prema sadržaju

D Klarin - 2024 - repozitorij.pmfst.unist.hr
U ovom diplomskom radu korišteni su algoritmi strojnog učenja–k-NN, K-Means i DBSCAN
u sustavu preporuka prema sadržaju na primjerima pjesama. Korišten je skup podataka …