Spotting out emerging artists using geo-aware analysis of P2P query strings

Record label companies would like to identify potential artists as early as possible in their careers, before other companies approach the artists with competing contracts. The vast number of candidates makes the process of identifying the ones with high success potential time consuming and laborious. This paper demonstrates how datamining of P2P query strings can be used in order to mechanize most of this detection process. Using a unique intercepting system over the Gnutella network, we were able to capture an unprecedented amount of geographically identified (geo-aware) queries, allowing us to investigate the diffusion of music related queries in time and space. Our solution is based on the observation that emerging artists, especially rappers, have a discernible stronghold of fans in their hometown area, where they are able to perform and market their music. In a file sharing network, this is reflected as a delta function spatial distribution of content queries. Using this observa...

• Type: Conference
• Year: 2008
• Where: KDD
• Authors: Noam Koenigstein, Yuval Shavitt, Tomer Tankel
• Keywords: Data Mining, KDD 2008, Keywords P2P Queries, Potential Artists, Success Potential Time