Increasing Consumer Value in Virtual Music Environments

Consumer value is an essential aspect for the success of commercial platforms dealing with virtual music. It leads to successful adoption by end users. New value propositions being enabled by technological innovations are possible. In this paper we present recent work in the field of music information retrieval (MIR) satisfying the requirements, which have been proposed in value-based modeling of MIR systems in ecommerce. Two different scenarios are described: a central server approach integrating phonetic matching, and a P2P-based recommendation system supporting fan and genre communities. Furthermore we describe a novel artist recommendation approach using cultural features, which also could be used in both scenarios.