@article{9213cca9998244ee9a93c83d9734db84,
title = "Mining music from large-scale, peer-to-peer networks",
abstract = "Using song files shared by users in the Gnutella network, the authors present a method for constructing a song-similarity graph to create scalable and efficient applications.",
keywords = "Data mining, IEEE Multimedia, information retrieval, multimedia, peer-to-peer networks, recommendation systems",
author = "Yuval Shavitt and Ela Weinsberg and Udi Weinsberg",
note = "Funding Information: We thank Tomer Tankel for providing the data used in this article, and sharing valuable ideas for its successful analysis. This research was supported in part by the Israel Science Foundation center of excellence program (#1685/07) and by the Ministry of Trade and Industry, Magnet program through the NeGeV Consortium.",
year = "2011",
month = jan,
doi = "10.1109/MMUL.2011.13",
language = "אנגלית",
volume = "18",
pages = "14--23",
journal = "IEEE Multimedia",
issn = "1070-986X",
publisher = "IEEE Computer Society",
number = "1",
}