Scenarios for Music Information Retrieval: A Value-Based Model for P2P Network Community

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.