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
y, 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 listeners
prefers in which context. We describe the automatic creation
and adaptation of playlists and present results of a
study that investigates the capabilities of the gathered user
context features to predict the listener's music preference.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the ACM International Conference on Multimedia Retrieval (ICMR 2014), Glasgow, Scotland |
| Number of pages | 4 |
| Publication status | Published - 2014 |
Fields of science
- 202002 Audiovisual media
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102003 Image processing
- 102015 Information systems
JKU Focus areas
- Computation in Informatics and Mathematics
- Engineering and Natural Sciences (in general)