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Meerkat: exploring semantic music discovery using personalized radio
Conference proceeding

Meerkat: exploring semantic music discovery using personalized radio

Ashley Oudenne, Youngmoo Kim and Douglas Turnbull
Proceedings of the international conference on multimedia information retrieval, pp 429-432
29 Mar 2010
DOI: https://doi.org/10.1145/1743384.1743459

Abstract

personalized internet radio semantic music discovery engine
We present an Internet radio player called Meerkat to explore the use of semantic tags as a mechanism for controlling a personalized stream of music. We argue that this increases the level of interactivity over standard commercial Internet radio players and, as a result, produces a positive and efficient music discovery experience. We also challenge the common design decision not to reveal the identity of upcoming songs. We argue that showing these songs to the user provides context for the current state of the radio station. More importantly, it gives the user instant visual feedback when he or she decides to dynamically alter the radio station. Based on a small initial user study, we find evidence to suggest that showing the upcoming songs improves the user experience.

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2 citations in Scopus

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