Content-driven music recommendation: Evolution, state of the art, and challenges
The music domain is among the most important ones for adopting recommender systems
technology. In contrast to most other recommendation domains, which predominantly rely on …
technology. In contrast to most other recommendation domains, which predominantly rely on …
Access to ethnic music: Advances and perspectives in content-based music information retrieval
O Cornelis, M Lesaffre, D Moelants, M Leman - Signal Processing, 2010 - Elsevier
Access to digital music collections is nowadays facilitated by content-based methods that
allow the retrieval of music on the basis of intrinsic properties of audio, in addition to …
allow the retrieval of music on the basis of intrinsic properties of audio, in addition to …
A novel emotion-aware hybrid music recommendation method using deep neural network
S Wang, C Xu, AS Ding, Z Tang - Electronics, 2021 - mdpi.com
Emotion-aware music recommendations has gained increasing attention in recent years, as
music comes with the ability to regulate human emotions. Exploiting emotional information …
music comes with the ability to regulate human emotions. Exploiting emotional information …
The Music Meta Ontology: a flexible semantic model for the interoperability of music metadata
The semantic description of music metadata is a key requirement for the creation of music
datasets that can be aligned, integrated, and accessed for information retrieval and …
datasets that can be aligned, integrated, and accessed for information retrieval and …
Exploring methods to improve access to M usic resources by aligning library D ata with L inked D ata: A report of methodologies and preliminary findings
As a part of a research project aiming to connect library data to the unfamiliar data sets
available in the L inked D ata (LD) community's CKAN D ata H ub (thedatahub. org), this …
available in the L inked D ata (LD) community's CKAN D ata H ub (thedatahub. org), this …
Semantic annotation of digital music
F Rahman, J Siddiqi - Journal of Computer and System Sciences, 2012 - Elsevier
In recent times, digital music items on the internet have been evolving in a vast information
space where consumers try to find/locate the piece of music of their choice by means of …
space where consumers try to find/locate the piece of music of their choice by means of …
Representation learning for music classification and retrieval
MS Won - 2022 - dialnet.unirioja.es
L'esclat de la música digital ha revolucionat la manera en que consumim música. Les
plataformes de música per Internet posen tal quantitat d'informació i continguts a l'abast dels …
plataformes de música per Internet posen tal quantitat d'informació i continguts a l'abast dels …
Music emotion classification for Turkish songs using lyrics
Müzik insanlık tarihinde önemli bir yere sahiptir. Özellikle dijital çağda kişiler tarafından her
gün yaratılan ve ulaşılan müzik koleksiyonlarının büyüklüğü ile müziğin önemi daha da …
gün yaratılan ve ulaşılan müzik koleksiyonlarının büyüklüğü ile müziğin önemi daha da …
Faceted ontological representation for a music domain
DP Madalli, BP Balaji, AK Sarangi - KO KNOWLEDGE …, 2015 - nomos-elibrary.de
This paper proposes an analysis of faceted theory and of various knowledge organization
approaches. Building upon the faceted theory of SR Ranganathan (1967), the paper intends …
approaches. Building upon the faceted theory of SR Ranganathan (1967), the paper intends …
Organising music for movies
Purpose–The purpose of this paper is to examine and discuss the classification of
commercial popular music when large digital collections are organised for use in films …
commercial popular music when large digital collections are organised for use in films …