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. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Oka, M., Mori, H., & Saito, M. (2007). An information filtering method based on user’s moods, situations, and preferences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4557 LNCS, pp. 715–719). Springer Verlag. https://doi.org/10.1007/978-3-540-73345-4_81
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