Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)

Analysis on the Impact of Network Platform Recommender Systems on Users' Choices of Network Music

Authors
Chengai Duan1, *
1School of economics, Ocean University of China, Qingdao, Shandong, 266000, China
*Corresponding author.
Corresponding Author
Chengai Duan
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-058-9_32How to use a DOI?
Keywords
recommender systems; recommendation systems; music; music industry
Abstract

In the technological era, we always come across recommender systems. The passage mainly focuses on the use of recommender system in the music field, and analyzes the positive and negative aspect of the system and its future applications. The statistics of the paper are mainly from the former researches. It turns out that the recommender systems have both positive and negative influence on the musical industry. Recommendation systems benefit niche singers a lot, for the reason that their songs can be spread wider and more listeners will hear their songs. From the users' perspective, they will be recommended fair-sounding songs that fit their music tastes. However, recommender systems still yield ethical challenges that waited to be solved.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
Series
Advances in Computer Science Research
Publication Date
27 December 2022
ISBN
978-94-6463-058-9
ISSN
2352-538X
DOI
10.2991/978-94-6463-058-9_32How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Chengai Duan
PY  - 2022
DA  - 2022/12/27
TI  - Analysis on the Impact of Network Platform Recommender Systems on Users' Choices of Network Music
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 178
EP  - 181
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_32
DO  - 10.2991/978-94-6463-058-9_32
ID  - Duan2022
ER  -