Porcaro, Lorenzo (Date of defense: 2022-12-16)
This thesis focuses on assessing the impact that music recommendation diversity may have on listeners. In the music domain, diversity is one of the values that recommender systems should preserve, ...
Bogdanov, Dmitry (Date of defense: 2013-09-06)
Aquest treball es centra en el modelatge d'usuari per la recomanació musical i desenvolupa algoritmes per la comprensió automàtica i visualització de preferències musicals. Primer, es proposa un model ...
Ferraro, Andrés (Date of defense: 2021-09-30)
Music streaming platforms nowadays play an important role in music consumption and have a big influence on the musical taste of the listeners. Machine learning-based recommender systems are a fundamental ...
Herrera Boyer, Perfecto (Date of defense: 2018-12-12)
This tesis reports on research carried out and published during the last twenty years on different problems of Music Information Retrieval (MIR). We organize the text as a personal account and critical ...
Oramas Martín, Sergio (Date of defense: 2017-11-29)
In this thesis, we address the problems of classifying and recommending music present in large collections. We focus on the semantic enrichment of descriptions associated to musical items (e.g., artists ...