Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 6
1668-1672

Research on recommendation method of fusion of indirect interactive information and factorization machine

Yang Zhia
Tang Xianghonga,b
Lin Chuana
a. School of Computer Science & Technology, b. State Key Laboratory of Public Big Data, Guizhou University, Guiyang 550000, China
DOI: 10.19734/j.issn.1001-3695.2020.09.0243

Abstract

Aiming at the problems of insufficient interactive information application and poor recommendation performance in existing recommendation methods, this paper made full use of the indirect interaction information between users and items, and used reachable matrix to express the indirect interaction relationship between users and items. Meanwhile, it constructed a new recommendation method by organically integrating the reachable matrix and the factorization machine. Experiments on the Amazon-Book, Last-FM and Yelp2018 datasets show that the recommended performance of the proposed method is not only better than the traditional recommendation methods based on factorization machine, but also better than the latest factorization machine based on neural network. In terms of the time efficiency of recommendation, this method has obvious advantages over the recommendation methods based on the knowledge graph attention network. At the same time, compared with other recommended methods, this method has better interpretability.

Foundation Support

贵州省留学回国人员科技活动择优资助项目—优秀类项目(2018,0002)
2018年贵州省本科教学内容和课程体系改革项目阶段性成果(2018520081)
贵州省科学技术基金重点项目(黔科合基础[2020]1Z055)
国家自然科学基金资助项目(62066008,62066007)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.09.0243
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 6
Section: Algorithm Research & Explore
Pages: 1668-1672
Serial Number: 1001-3695(2021)06-012-1668-05

Publish History

[2021-06-05] Printed Article

Cite This Article

杨志, 唐向红, 林川. 间接交互信息与因式分解机融合的推荐方法研究 [J]. 计算机应用研究, 2021, 38 (6): 1668-1672. (Yang Zhi, Tang Xianghong, Lin Chuan. Research on recommendation method of fusion of indirect interactive information and factorization machine [J]. Application Research of Computers, 2021, 38 (6): 1668-1672. )

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  • 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.

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