Algorithm Research & Explore
|
488-492

Neural graph collaborative filtering based on interaction intent

Zhang Xiankun1
Qin Fengbin1
Sun Yue2
Huang Wenjie1
Dong Mei1
1. School of Artificial Intelligence, Tianjin University of Science & Technology, Tianjin 300457, China
2. Witeyesz Corp. , Ltd. , Shenzhen Guangdong 518029, China

Abstract

Traditional collaborative filtering methods largely model in a uniform way without considering the modeling relationships at the fine-grained level of interaction intent. This paper proposed a graph neural network collaborative filtering algorithm fused with interaction intention, named INTNGCF. Firstly, it identified the potential intention by decomposing edges into multiple potential spaces. Secondly, it used the interaction intention fusion layer to determine the importance of these potential intentions. Finally, it generated a predicted user rating of the project. Compared with seven baseline models on three real datasets, the results show that the proposed algorithm has certain performance advantages compared with other advanced recommendation models.

Foundation Support

天津市高等学校本科教学质量与教学改革研究计划项目(B201005706)
天津市自然科学基金资助项目(19JCYBJC15300)
天津市科技计划项目(21ZYQCSY00050)
天津市研究生科研创新项目(2021YJSS04)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0354
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 2
Section: Algorithm Research & Explore
Pages: 488-492
Serial Number: 1001-3695(2023)02-029-0488-05

Publish History

[2022-10-10] Accepted Paper
[2023-02-05] Printed Article

Cite This Article

张贤坤, 秦锋斌, 孙月, 等. 融合交互意图的图神经网络协同过滤算法 [J]. 计算机应用研究, 2023, 40 (2): 488-492. (Zhang Xiankun, Qin Fengbin, Sun Yue, et al. Neural graph collaborative filtering based on interaction intent [J]. Application Research of Computers, 2023, 40 (2): 488-492. )

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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