Abstract
We propose a Music Recommendation System (MRS) based on GPS information and user’s mood. The system records example automatically when user selects the music, and extracts hypothesis by Inductive Logic Programming (ILP). Then the system calculates recommendation rate by the hypothesis, and recommend the music by using roulette strategy.
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SWI-Prolog: http://www.swi.psy.uva.nl/projects/SWI-Prolog/
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© 2007 Springer-Verlag Berlin Heidelberg
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Oka, M., Mori, H., Saito, M. (2007). An Information Filtering Method Based on User’s Moods, Situations, and Preferences. In: Smith, M.J., Salvendy, G. (eds) Human Interface and the Management of Information. Methods, Techniques and Tools in Information Design. Human Interface 2007. Lecture Notes in Computer Science, vol 4557. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73345-4_81
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DOI: https://doi.org/10.1007/978-3-540-73345-4_81
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73344-7
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