Istituto di Scienza e Tecnologie dell'Informazione     
Pollacci L., Guidotti R., Rossetti G. "Are we playing like Music-Stars?" Placing emerging artists on the Italian usic scene. In: MML 2016 - 9th International Workshop on Machine Learning and Music (Riva del Garda, Italy, 23 September 2016). Proceedings, pp. 51 - 55. Rafael Ramirez, Darrell Conklin, José Manuel Iñesta (eds.). MML, 2016.
The Italian emerging bands chase success on the footprint of popular artists by playing rhythmic danceable and happy songs. Our finding comes out from a study of the Italian music scene and how the new generation of musicians relate with the tradition of their country. By analyzing Spotify data we investigated the peculiarity of regional music and we placed emerging bands within the musical movements defined by already successful artists. The approach proposed and the results obtained are a first attempt to outline rules suggesting the importance of those features needed to increase popularity in the Italian music scene.
URL: http://https://sites.google.com/site/musicmachinelearning16/proceedings
Subject Music Data Mining
Musical Clusters
H.2.8 DATABASE MANAGEMENT. Database Applications. Data Mining

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