DocumentCode
1460249
Title
Mining Music from Large-Scale, Peer-to-Peer Networks
Author
Shavitt, Yuval ; Weinsberg, Ela ; Weinsberg, Udi
Author_Institution
Tel Aviv Univ., Tel Aviv, Israel
Volume
18
Issue
1
fYear
2011
Firstpage
14
Lastpage
23
Abstract
Millions of users worldwide use peer-to-peer (P2P) networks for sharing content, with a significantly high percentage of this content being multimedia, such as songs and movies.1 As such, P2P networks are an invaluable resource for various multimedia information retrieval (MIR) tasks because of the large data set, the ability to capture data without the collaboration of P2P network oper ators, and a large and diverse population.
Keywords
data mining; information retrieval; multimedia computing; music; peer-to-peer computing; MIR; P2P; mining music; multimedia information retrieval; peer-to-peer networks; Algorithm design and analysis; Clustering algorithms; Markov processes; Music information systems; Peer to peer computing; Recommender systems; Data mining; IEEE Multimedia; information retrieval; multimedia; peer-to-peer networks; recommendation systems;
fLanguage
English
Journal_Title
MultiMedia, IEEE
Publisher
ieee
ISSN
1070-986X
Type
jour
DOI
10.1109/MMUL.2011.13
Filename
5720675
Link To Document