Surveying More Than Two Decades of Music Information Retrieval Research on Playlists

In this article, we present an extensive survey of music information retrieval (MIR) research into music playlists. Our survey spans more than 20 years, and includes around 300 papers about playlists, with over 70 supporting sources. It is the first survey that is self-contained in the sense that it combines all the different MIR research into playlists. It embraces topics such as algorithms for automatic generation, for automatic continuation, for assisting with manual generation, for tagging and for captioning. It looks at manually constructed playlists, both those that are constructed for and by individuals and those constructed in collaboration with others. It covers ground-breaking research into enhancing playlists by cross-fading consecutive songs and by interleaving consecutive songs with speech, similar to what happens on a radio show. Most significantly, it is the first survey that can fully incorporate the paradigm shift that has taken place in the way people consume recorded music: the shift from physical media to music streaming. This has wrought profound changes in the size of music collections available to listeners and thus the algorithms that support the construction, curation and presentation of playlists and the methods adopted by users when they also construct, curate and listen to playlists.

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Publication Details

Journal
ACM Transactions on Intelligent Systems and Technology
Published
2024-08-12
DOI
https://doi.org/10.1145/3688398
Citations
4
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
1.40
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article

Surveying More Than Two Decades of Music Information Retrieval Research on Playlists

Derek Bridge, Giovanni Gabbolini
4 citations
ACM Transactions on Intelligent Systems and Technology
Music and Audio Processing
1.40
article

Surveying More Than Two Decades of Music Information Retrieval Research on Playlists

Derek Bridge, Giovanni Gabbolini
article en
4 citations

Abstract

In this article, we present an extensive survey of music information retrieval (MIR) research into music playlists. Our survey spans more than 20 years, and includes around 300 papers about playlists, with over 70 supporting sources. It is the first survey that is self-contained in the sense that it combines all the different MIR research into playlists. It embraces topics such as algorithms for automatic generation, for automatic continuation, for assisting with manual generation, for tagging and for captioning. It looks at manually constructed playlists, both those that are constructed for and by individuals and those constructed in collaboration with others. It covers ground-breaking research into enhancing playlists by cross-fading consecutive songs and by interleaving consecutive songs with speech, similar to what happens on a radio show. Most significantly, it is the first survey that can fully incorporate the paradigm shift that has taken place in the way people consume recorded music: the shift from physical media to music streaming. This has wrought profound changes in the size of music collections available to listeners and thus the algorithms that support the construction, curation and presentation of playlists and the methods adopted by users when they also construct, curate and listen to playlists.

ACM Transactions on Intelligent Systems and TechnologyVol. 15(6)
University College Cork (IE)
Quality Education
Openalex Percentile: Top 19%
Music and Audio Processing
1.40
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