The application of neural network with convolution algorithm in Western music recommendation practice-Reference-Cited by-同舟云学术

The application of neural network with convolution algorithm in Western music recommendation practice

Published:2020-03-04 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Chen Xuan

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12652-020-01806-5.pdf

Reference29 articles.

1. Chang HY, Huang SC, Wu JH (2016) A personalized music recommendation system based on electroencephalography feedback. Multimed Tools Appl 76(19):1–20

2. Chen C, Xu J, O’Regan D, Fu Z (2018) Positive solutions for a system of semipositone fractional difference boundary value problems. J Funct Space 5:1–12

3. Cheng Z, Shen J (2016) On effective location-aware music recommendation. ACM Trans Inf Syst 34(2):1–32

4. Costa YMG, Oliveira LS, Silla CN (2017) An evaluation of convolutional neural networks for music classification using spectrograms. Appl Soft Comput 52:28–38

5. Flexer A, Stevens J (2018) Mutual proximity graphs for improved reachability in music recommendation: J New Music Res 47(1):17–28

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