Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 12
3628-3635

User representation based on knowledge graph and its application in complementary product recommendation

Sun Ruixue
Ji Shujuan
Liang Yongquan
College of Computer Science & Engineering, Shandong University of Science & Technology, Qingdao Shandong 266590, China
DOI: 10.19734/j.issn.1001-3695.2023.04.0164

Abstract

Complementary product recommendation aims to provide users with products that are often purchased together to meet common needs. Existing complementary product recommendation methods mainly consider modeling the content characteristics(visual and textual content) of products, but do not consider the preferences of users when purchasing products. This paper designed a complementary product recommendation model that integrated user preferences, termed as CPRUP. The model firstly computed the complementarity of image and text features between products; then it combined knowledge graph with attention mechanism, mined the correlation between user's historical purchased products based on n-hop neighbors, and proposed a user representation based on knowledge graph to extract user preferences for complementary products. Finally, it implemented joint learning of complementarity and user preferences based on neural networks. Experiments on the Amazon dataset show that the proposed CPRUP model has increased the ACC by 5% and the precision by 4% compared to the suboptimal baseline model, which indicates that the CPRUP model can more accurately recommend complementary products to users.

Foundation Support

国家自然科学基金资助项目(71772107)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.04.0164
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 12
Section: Algorithm Research & Explore
Pages: 3628-3635
Serial Number: 1001-3695(2023)12-016-3628-08

Publish History

[2023-07-14] Accepted Paper
[2023-12-05] Printed Article

Cite This Article

孙瑞雪, 纪淑娟, 梁永全. 基于知识图谱的用户表征及在互补产品推荐中的应用 [J]. 计算机应用研究, 2023, 40 (12): 3628-3635. (Sun Ruixue, Ji Shujuan, Liang Yongquan. User representation based on knowledge graph and its application in complementary product recommendation [J]. Application Research of Computers, 2023, 40 (12): 3628-3635. )

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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