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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 11
3290-3293

Deep joint learning recommendation based on metadata and attention mechanism

Zhang Quangui
Li Zhiqiang
Zhang Xinxin
Cao Zhiqiang
School of Electronics & Information Engineering, Liaoning Technical University, Huludao Liaoning 125105, China
DOI: 10.19734/j.issn.1001-3695.2018.04.0285

Abstract

Most of the existing modeling methods of combining metadata are based on the same user / item attribute weights, so that the key relationships between users and items are not significant, and it is difficult to obtain better recommendation performance. To solve the above problems, this paper proposed a method of deep joint learning recommendation based on metadata and attention mechanism. It used double deep network joint learning, one of the networks implemented matrix nonlinear decomposition based on implicit feedback data to learn user/project personalization relationship, and another network automatically captured influence the user/item key attributes to recommend by using attention mechanism, through the user preference relation with weighted of different attributes modeling highlighted the extended model. Experimental results show that the proposed recommendation algorithm has better recommendation performance on two public datasets of MovieLens 100K and Mo-vieLens 1M.

Foundation Support

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

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0285
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Algorithm Research & Explore
Pages: 3290-3293
Serial Number: 1001-3695(2019)11-020-3290-04

Publish History

[2019-11-05] Printed Article

Cite This Article

张全贵, 李志强, 张新新, 等. 融合元数据及attention机制的深度联合学习推荐 [J]. 计算机应用研究, 2019, 36 (11): 3290-3293. (Zhang Quangui, Li Zhiqiang, Zhang Xinxin, et al. Deep joint learning recommendation based on metadata and attention mechanism [J]. Application Research of Computers, 2019, 36 (11): 3290-3293. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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