Recommender Systems for Medicine and Music [E-Book] / edited by Zbigniew W. Ras, Alicja Wieczorkowska, Shusaku Tsumoto.
Music recommendation systems are becoming more and more popular. The increasing amount of personal data left by users on social media contributes to more accurate inference of the user's musical preferences and the same to quality of personalized systems. Health recommendation systems have beco...
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Full text |
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| Personal Name(s): | Ras, Zbigniew W., editor |
| Tsumoto, Shusaku, editor / Wieczorkowska, Alicja, editor | |
| Edition: |
1st edition 2021. |
| Imprint: |
Cham :
Springer,
2021
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| Physical Description: |
XVI, 236 pages 60 illustrations, 33 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9783030664503 |
| DOI: |
10.1007/978-3-030-66450-3 |
| Series Title: |
Studies in Computational Intelligence ;
946 |
| Subject (LOC): |
- Recommender Systems in Healthcare
- Personalizing Patients to Enable Shared Decision Making
- Repeated Listens in the Music Discovery Process
- Body Data for Music Information Retrieval Tasks
- Music and Healthcare Recommendation Systems.