Personalized Music Playlist Generation Method for Placing the Listener in a Positive Mood
Author:
Affiliation:
1. Graduate School of Frontier Informatics, Kyoto Sangyo University
2. Kyoto Sangyo University
Publisher
Japan Society of Kansei Engineering
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/ijae/21/3/21_IJAE-D-21-00021/_pdf
Reference26 articles.
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2. 2. Bonnin, G., and Jannach, D.; Automated generation of music playlists; Survey and experiments, ACM Computing Surveys (CSUR), 47(2), pp.1-35, 2014.
3. 3. Ogino, A., and Uenoyama, Y.; Impression-based music playlist generation method for placing the listener in a positive mood, International Journal of Affective Engineering, 19(2), pp.145-154, 2020.
4. 4. Altshuler I. M.; The past, present, and future of musical therapy. In; Podolsky E. (ed.), Music therapy, New York, Philosophical Library, pp.24-35, 1948.
5. 5. Liu, N. H., Hsieh, S. J., and Tsai, C. F.; An intelligent music playlist generator based on the time parameter with artificial neural networks, Expert Systems with Applications, 37(4), pp.2815-2825, 2020.
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2. Personalized Playlist Generation for Shifting a Person into Positive Feelings;Journal of Japan Society of Kansei Engineering;2023-12-31
3. ウェルビーイングと感性工学;Journal of Japan Society of Kansei Engineering;2023-12-31
4. Impression and Pleasure-based Music Playlist Generation Method for Placing the Listener in a Positive Mood;International Journal of Affective Engineering;2023
5. Impression and Pleasure-Based Music Playlist Generation Method for Broadening Interest in Music and Shifting Positive Mood;International Symposium on Affective Science and Engineering;2023
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