Research on personalized music recommendation model based on human physiological signals-Reference-Cited by-同舟云学术

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Research on personalized music recommendation model based on human physiological signals

Published:2024-05-10 Issue: Volume:19 Page:89-93
ISSN:
Container-title:Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security
language:
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Author:

Wang Yingqiang¹^ORCID,Serrano Elcid²^ORCID

Affiliation:

1. School of Information Technology, Mapua University, Philippines and Xi'an Siyuan University, China

2. School of Information Technology, Mapua University, Philippines

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3665348.3665365

Reference14 articles.

1. Yan Kang. Research on personalized music recommendation algorithm based on collaborative filtering [D]. Shenyang Ligong University, 2023.

2. Yao Yonglin. Personalized music recommendation system based on deep learning [D]. University of Electronic Science and Technology of China, 2023.

3. Song Xuefeng. Design and implementation of personalized music recommendation system based on deep learning [D]. Heilongjiang University, 2021.

4. Overview of music recommendation systems[J];Shuai Liu;Journal of Guangzhou University,2020

5. Lv Shaomin;Pan Li. BTSAMA:A Personalized Music Recommendation Method Combining TextCNN and Attention[J]. International Journal of Ambient Computing and Intelligence (IJACI). Volume 14, Issue 1. 2023: 1-23.

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