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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 10
2962-2967

Research on intelligent recommendation method of product design knowledge based on hypergraph network

Liu Gao
Huang Shenquan
Long An
Wang Yujie
Zhu Xiaohui
School of Mechanical & Electrical Engineering, Wenzhou University, Wenzhou Zhejiang 325035, China
DOI: 10.19734/j.issn.1001-3695.2022.04.0137

Abstract

To improve the efficiency and effect of massive design knowledge recommendation in the knowledge management system, this paper constructed the hypergraph network of knowledge documents from the three dimensions of product structure knowledge, process knowledge and knowledge identification. Then it used the hyper2vec technology to establish the knowledge representation model, and generated the knowledge feature vector library based on user behavior information. And the paper proposed a Markov knowledge recommendation model based on hyper-edge sequence to predict candidate knowledge documents. It expanded the candidate set by knowledge characteristic vector similarity, and the paper established a personalized user interest model to filter and sort it. Finally, it carried out the application verification of the cold heading machine patent knowledge recommendation system. The experiment shows that this method has a good recommendation effect in accuracy and diversity, which verifies the feasibility and effectiveness of the method.

Foundation Support

国家自然科学基金资助项目(71501143)
浙江省自然科学基金资助项目(Y19G010030)
温州市重大专项项目(2018ZG026)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.04.0137
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 10
Section: Algorithm Research & Explore
Pages: 2962-2967
Serial Number: 1001-3695(2022)10-011-2962-06

Publish History

[2022-06-08] Accepted Paper
[2022-10-05] Printed Article

Cite This Article

刘高, 黄沈权, 龙安, 等. 基于超图网络的产品设计知识智能推荐方法研究 [J]. 计算机应用研究, 2022, 39 (10): 2962-2967. (Liu Gao, Huang Shenquan, Long An, et al. Research on intelligent recommendation method of product design knowledge based on hypergraph network [J]. Application Research of Computers, 2022, 39 (10): 2962-2967. )

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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