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Evaluation Frameworks for P2P and Music Information Retrieval

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Music is one of the most popular types of online information and there are now hundreds of music streaming and download services operating on the World-Wide Web. This paper outlines the problems of content-based music information retrieval and explores 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. The distribution of digital music is one of the most attracting and challenging topics for end users, content owners and musicians these days. 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.
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Document Type: Research Article

Publication date: September 1, 2013

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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