Abstract
We have developed a scheme for music retrieval that adapts to the user’s impressions of the musical pieces. First, we conducted impression-estimation experiments in which 100 subjects gave their impression of 80 musical pieces, and then, using a clustering method, we classified the 100 subjects into 20 groups based on the results. Next, we created a user model for each group consisting of formulas for numerically expressing the impressions and a set of vectors calculated using the formulas. We then developed a procedure for identifying the most suitable model for an unidentified user. Testing of the models and procedure in an existing impression-based music-retrieval system demonstrated the effectiveness of the proposed scheme.
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Kumamoto, T. (2005). Design and Evaluation of a Music Retrieval Scheme That Adapts to the User’s Impressions. In: Ardissono, L., Brna, P., Mitrovic, A. (eds) User Modeling 2005. UM 2005. Lecture Notes in Computer Science(), vol 3538. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527886_38
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DOI: https://doi.org/10.1007/11527886_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27885-6
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