| 書目名稱 | Recommender Systems for Medicine and Music |
| 編輯 | Zbigniew W. Ras,Alicja Wieczorkowska,Shusaku Tsumo |
| 視頻video | http://file.papertrans.cn/825/824129/824129.mp4 |
| 概述 | Presents applications of Recommender Systems for Medicine and Music.Recent applied research on recommender systems.Written by leading experts in the field |
| 叢書名稱 | Studies in Computational Intelligence |
| 圖書封面 |  |
| 描述 | .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 become indispensable tools in decision making processes in the healthcare sector. Their main objective is to ensure the availability of valuable information at the right time by ensuring information quality, trustworthiness, authentication, and privacy concerns. Medical doctors deal with various kinds of diseases in which the music therapy helps to improve symptoms. Listening to music may improve heart rate, respiratory rate, and blood pressure in people with heart disease. Sound healing therapy uses aspects of music to improve physical and emotional health and well-being. The book presents a variety of approaches useful to create recommendation systems in healthcare, music, and in music therapy.. |
| 出版日期 | Book 2021 |
| 關鍵詞 | Computational Intelligence; Recommender Systems; Recommender Systems for Medicine and Music; Health int |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-66450-3 |
| isbn_ebook | 978-3-030-66450-3Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer Nature Switzerland AG 2021 |
|Archiver|手機版|小黑屋|
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