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

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

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

Content Provider	ACM Digital Library
Author	Tacchini, Eugenio Damiani, Ernesto
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.
Starting Page	57
Ending Page	62
Page Count	6
File Format	PDF
ISBN	9781450309868
DOI	10.1145/2072529.2072544
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-11-30
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Automatic classification Collaborative filtering Folksonomy Music Affinity propagation. Clustering Music genres Recommender systems
Content Type	Text
Resource Type	Article

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