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Record labels would like to identify potential artists as early as possible in their career, before other companies approach the artists with competing contracts. However, there are a huge number of new artists, and the process of identifying the ones with high success potential is labor intensive. This paper demonstrates how data mining in P2P networks can be used together with social marketing theories in order to mechanize most of this detection process. Using a unique intercepting system over the Gnutella network the authors captured an unprecedented amount of geographically identified queries, allowing one to investigate the diffusion of music related content in time and space.
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