Design and Implementation of Hybrid Music Recommendation System Based on Music Gene-Reference-Cited by-同舟云学术

Design and Implementation of Hybrid Music Recommendation System Based on Music Gene

Published:2020-09-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 International Conference on Computers, Information Processing and Advanced Education
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Author:

Wang Linfei¹

Affiliation:

1. Shangrao Infant Normal College, Shangrao, Jiangxi, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3419635.3419669

Reference10 articles.

1. Liman Zhao. A new collaborative filtering recommendation algorithm. Nanjing: nanjing university of posts and telecommunications 2013. Liman Zhao. A new collaborative filtering recommendation algorithm. Nanjing: nanjing university of posts and telecommunications 2013.

2. Peiyong Xia personalized recommendation technology in collaborative filtering algorithms. Shandong province: China Ocean University 2011. Peiyong Xia personalized recommendation technology in collaborative filtering algorithms. Shandong province: China Ocean University 2011.

3. Shunhao Zhu. Research and implementation of music recommendation system based on combinatorial model. Guangzhou: sun yat-sen University 2010. Shunhao Zhu. Research and implementation of music recommendation system based on combinatorial model. Guangzhou: sun yat-sen University 2010.

4. Yan Zhang Zhenmin Tang Yanping Li. Music feature extraction for recommendation system. Computer engineering and application vol.47 no.5 pp.130--133 2011. Yan Zhang Zhenmin Tang Yanping Li. Music feature extraction for recommendation system. Computer engineering and application vol.47 no.5 pp.130--133 2011.

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