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
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;
Journal_Title :
MultiMedia, IEEE
DOI :
10.1109/MMUL.2011.13
