Title :
Scenarios for Music Information Retrieval: A Value-Based Model for P2P Network Community
Author_Institution :
Dept. of Marketing Manage., TransWorld Univ., Yunlin, Taiwan
Abstract :
The distribution of digital music is one of the most attracting and challenging topics for end users, content owners and musicians these days. The focus of this paper is the motivation how technological innovations enable new value propositions. In this paper, the author describes a P2P system music metadata registration and query resolution, that supports attribute value search semantics as well as content-based retrieval. This study showed the technical feasibility of these ideas in a prototypical P2P environment and described a novel artist recommendation approach using cultural features, which also could be used in both scenarios.
Keywords :
content-based retrieval; meta data; music; peer-to-peer computing; query formulation; P2P system; content-based retrieval; cultural feature; digital music distribution; music information retrieval; music metadata registration; query resolution; recommendation approach; technological innovations; Communities; Cultural differences; Digital audio players; Feature extraction; Music; Music information retrieval; Peer to peer computing; P2P network; value-based model; virtual music;
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
DOI :
10.1109/GCIS.2010.12
