This work proposes a method based on the affinity propagation clustering technique to classify artists and find representative artists for each musical category ("musical world") using only the listening history log of a music service. Two variants of the proposed method are compared with a classic k-means clustering approach and an evaluation based on folksonomy analysis is provided. The results suggest that affinity propagation is highly effective in the music domain, allowing for better classification of artists than classic clustering techniques. Furthermore, an analysis of the results indicates that classifying music by genres, even using more than one genre for each artist, is sometimes an oversimplification of the dynamics that govern the music ecosystem. While most of the clusters found have a strict relationship with a music genre, the characterization of some of the emerged "musical worlds" is related to other aspects like the geographic origin of the artists, the prominent themes in the lyrics, the evocative potential and the association with a culture/lifestyle or the context in which the music has been used.

Tacchini, E., Damiani, E., What is a "Musical World"? An affinity propagation approach, Paper, in MIRUM '11: Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies, (Scottsdale, Arizona, 30-30 November 2011), ACM, New York -- USA 2011: 57-62. 10.1145/2072529.2072544 [https://hdl.handle.net/10807/316657]

What is a "Musical World"? An affinity propagation approach

Tacchini, Eugenio
Primo
;
2011

Abstract

This work proposes a method based on the affinity propagation clustering technique to classify artists and find representative artists for each musical category ("musical world") using only the listening history log of a music service. Two variants of the proposed method are compared with a classic k-means clustering approach and an evaluation based on folksonomy analysis is provided. The results suggest that affinity propagation is highly effective in the music domain, allowing for better classification of artists than classic clustering techniques. Furthermore, an analysis of the results indicates that classifying music by genres, even using more than one genre for each artist, is sometimes an oversimplification of the dynamics that govern the music ecosystem. While most of the clusters found have a strict relationship with a music genre, the characterization of some of the emerged "musical worlds" is related to other aspects like the geographic origin of the artists, the prominent themes in the lyrics, the evocative potential and the association with a culture/lifestyle or the context in which the music has been used.
2011
Inglese
MIRUM '11: Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies
MIRUM '11: 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies
Scottsdale, Arizona
Paper
30-nov-2011
30-nov-2011
978-1-4503-0986-8
ACM
Tacchini, E., Damiani, E., What is a "Musical World"? An affinity propagation approach, Paper, in MIRUM '11: Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies, (Scottsdale, Arizona, 30-30 November 2011), ACM, New York -- USA 2011: 57-62. 10.1145/2072529.2072544 [https://hdl.handle.net/10807/316657]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/316657
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