Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 11
3250-3254

Attentive collaborative side variational recommender algorithm

Kang Yan
Wang Peiyao
Li Hao
Li Jinyuan
Yang Qiyue
Cui Guorong
College of Software, Yunnan University, Kunming 650500, China
DOI: 10.19734/j.issn.1001-3695.2019.08.0283

Abstract

For the high dimension and insufficient sample of side information and user comment input in the recommendation algorithm, this paper proposed an attentive collaborative side variational autoencoder recommender model(sVAE-a) for the nonlinear modeling ability of variational autoencoder and the related data enhancement ability of the attention mechanism. This model used collaborative side variational autoencoder to model the side information. At the same time, it used the attention mechanism to integrate the side information into the collaborative variational autoencoder architecture to strengthen the hidden variables and provide the decoder with cleaner features. At last, it used the variational inference to approximate the side information and the user′s comments, and obtained the recommended model through the parameters training. The experimental results on the MovieLens-20M dataset show that the method can improve not only from the basic recall rate index, but also from the coverage rate and normalized damage cumulative gain(NDCG) index. The model is easy to implement. It can combine different types of input and side information, and improve recommendation performance.

Foundation Support

国家自然科学基金资助项目(61762092, 61762089)
云南省软件工程重点实验室开放基金资助项目(2017SE204)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.08.0283
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Algorithm Research & Explore
Pages: 3250-3254
Serial Number: 1001-3695(2020)11-010-3250-05

Publish History

[2020-11-05] Printed Article

Cite This Article

康雁, 王沛尧, 李浩, 等. 注意力协同辅助变分推荐算法 [J]. 计算机应用研究, 2020, 37 (11): 3250-3254. (Kang Yan, Wang Peiyao, Li Hao, et al. Attentive collaborative side variational recommender algorithm [J]. Application Research of Computers, 2020, 37 (11): 3250-3254. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
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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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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