Proceedings of International Conference on Multimedia Retrieval 2014
DOI: 10.1145/2578726.2582612
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Mobile Music Genius

Abstract: The amount of music consumed while on the move has been spiraling during the past couple of years, which requests for intelligent music recommendation techniques. In this demo paper, we introduce a context-aware mobile music player named "Mobile Music Genius" (MMG), which seamlessly adapts the music playlist on the fly, according to the user context. It makes use of a comprehensive set of features derived from sensor data, spatiotemporal information, and user interaction to learn which kind of music a listener… Show more

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Cited by 15 publications
(1 citation statement)
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References 11 publications
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“…User study [42,43,56,65,[69][70][71][72]80,83,84,87,101,103,116,120] Similarly, Figure 6a shows the number of papers included in this study that employ each of the evaluation approaches. Notably, a large majority of the papers employ offline evaluation, although we should mention that one of the quality criteria applied is the use of publicly available datasets, so we are aware that this work is biased towards the presence of such studies.…”
mentioning
confidence: 99%
“…User study [42,43,56,65,[69][70][71][72]80,83,84,87,101,103,116,120] Similarly, Figure 6a shows the number of papers included in this study that employ each of the evaluation approaches. Notably, a large majority of the papers employ offline evaluation, although we should mention that one of the quality criteria applied is the use of publicly available datasets, so we are aware that this work is biased towards the presence of such studies.…”
mentioning
confidence: 99%