Overview
- Presents applications of Recommender Systems for Medicine and Music
- Recent applied research on recommender systems
- Written by leading experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 946)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
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.
Similar content being viewed by others
Keywords
Table of contents (14 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Recommender Systems for Medicine and Music
Editors: Zbigniew W. Ras, Alicja Wieczorkowska, Shusaku Tsumoto
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-66450-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-66448-0Published: 08 April 2021
eBook ISBN: 978-3-030-66450-3Published: 07 April 2021
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVI, 236
Number of Illustrations: 27 b/w illustrations, 33 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Music, Health Informatics