Cargando…
Support the underground: characteristics of beyond-mainstream music listeners
Music recommender systems have become an integral part of music streaming services such as Spotify and Last.fm to assist users navigating the extensive music collections offered by them. However, while music listeners interested in mainstream music are traditionally served well by music recommender...
Autores principales: | Kowald, Dominik, Muellner, Peter, Zangerle, Eva, Bauer, Christine, Schedl, Markus, Lex, Elisabeth |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550054/ https://www.ncbi.nlm.nih.gov/pubmed/34722107 http://dx.doi.org/10.1140/epjds/s13688-021-00268-9 |
Ejemplares similares
-
Listener Modeling and Context-Aware Music Recommendation Based on Country Archetypes
por: Schedl, Markus, et al.
Publicado: (2021) -
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study
por: Kowald, Dominik, et al.
Publicado: (2020) -
Differential privacy in collaborative filtering recommender systems: a review
por: Müllner, Peter, et al.
Publicado: (2023) -
Investigating country-specific music preferences and music recommendation algorithms with the LFM-1b dataset
por: Schedl, Markus
Publicado: (2017) -
Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation
por: Melchiorre, Alessandro B., et al.
Publicado: (2023)