Algorithm Research & Explore
|
2297-2299,2304

Music recommendation algorithm based on attention mechanism

Zhang Quangui
Zhang Xinxin
Li Zhiqiang
School of Electronic & Information Engineering, Liaoning Technical University, Huludao Liaoning 125105, China

Abstract

In the mass music, how to analyze the user's needs according to the user's history listening record to implement song recommendation is one of the challenging topics in the music recommendation field. The existing music recommendation method simply uses all the music the user has heard as the context of the music recommendation, which results in the same weight distribution of contexts learned by different types of music, which seriously affects the accuracy of the music recommendation. In response to this problem, this paper proposed a music recommendation method based on attention mechanism, which dynamically allocated different attentions to different users' historical listening music, that was learns different contextual weights so as to make the recommendation result more in line with the user's actual preference. And through the test on public music dataset named million song dataset, the recommended accuracy of the method proposed has greatly improved.

Foundation Support

国家留学基金资助项目(留金法[2015]5104)
辽宁省自然科学基金资助项目(20180550995)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0075
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Algorithm Research & Explore
Pages: 2297-2299,2304
Serial Number: 1001-3695(2019)08-012-2297-03

Publish History

[2019-08-05] Printed Article

Cite This Article

张全贵, 张新新, 李志强. 基于注意力机制的音乐深度推荐算法 [J]. 计算机应用研究, 2019, 36 (8): 2297-2299,2304. (Zhang Quangui, Zhang Xinxin, Li Zhiqiang. Music recommendation algorithm based on attention mechanism [J]. Application Research of Computers, 2019, 36 (8): 2297-2299,2304. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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