Abstract
We present a music recommendation system that incorporates both collaborative filtering and mood-based recommendations. The benefits of incorporating mood-based recommendations over both content/genre-based and collaborative filtering-based recommendation are illustrated by means of a real-world user evaluation in which 54 users took part in a one month long evaluation.
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Mortensen, M., Gurrin, C., Johansen, D. (2008). Real-World Mood-Based Music Recommendation. In: Li, H., Liu, T., Ma, WY., Sakai, T., Wong, KF., Zhou, G. (eds) Information Retrieval Technology. AIRS 2008. Lecture Notes in Computer Science, vol 4993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68636-1_57
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DOI: https://doi.org/10.1007/978-3-540-68636-1_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68633-0
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