Predicting billboard success using data-mining in P2P networks

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Abstract

Peer to Peer networks are the leading cause for music piracy but also used for music sampling prior to purchase. In this paper we investigate the relations between music file sharing and sales (both physical and digital) using large Peer-to-Peer query database information. We compare file sharing information on songs to their popularity on the Billboard Hot 100 and the Billboard Digital Songs charts, and show that popularity trends of songs on the Billboard have very strong correlation (0.88-0.89) to their popularity on a Peer-to-Peer network. We then show how this correlation can be utilized by common data mining algorithms to predict a song's success in the Billboard in advance, using Peer-to-Peer information.

Original languageEnglish
Title of host publicationISM 2009 - 11th IEEE International Symposium on Multimedia
Pages465-470
Number of pages6
DOIs
StatePublished - 2009
Event11th IEEE International Symposium on Multimedia, ISM 2009 - San Diego, CA, United States
Duration: 14 Dec 200916 Dec 2009

Publication series

NameISM 2009 - 11th IEEE International Symposium on Multimedia

Conference

Conference11th IEEE International Symposium on Multimedia, ISM 2009
Country/TerritoryUnited States
CitySan Diego, CA
Period14/12/0916/12/09

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