Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 6
1660-1665

Session-based recommendation algorithm fusing global and neighbor collaboration information

Wang Lunkang
Gao Maoting
College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0629

Abstract

Existing session-based recommendation algorithms mainly recommend by mining the item conversion relationship of a single target session, and take less account of the complex conversion information between items from other different sessions. This paper proposed a session-based recommendation algorithm fusing global and neighbor collaboration information(SFGN-GNN), which simultaneously considered the collaboration information from neighbor and global sessions to fully exploit user preference. The algorithm expressed user preference by learning session representation. Firstly, it built the neighbor graph according to the pairwise item transfer relationship between the target session and neighbor session, and built the global graph according to the pairwise item transfer relationship in all sessions. Then, it used the graph neural network to obtain the neighbor-level and global-level item representations of the target session node. Next, it used the fusion gate to obtain the session-level item representation, and embedded the position information and time information of the item in the target session. Afterward, it obtained the final session representation by using the soft attention mechanism. Finally, it predicted the next possible interaction item by softmax function. Experiments on two datasets demonstrate the effectiveness of SFGN-GNN algorithm.

Foundation Support

国家重点研发计划资助项目(2020YFC1511901)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0629
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 6
Section: Algorithm Research & Explore
Pages: 1660-1665
Serial Number: 1001-3695(2023)06-009-1660-06

Publish History

[2023-01-31] Accepted Paper
[2023-06-05] Printed Article

Cite This Article

王伦康, 高茂庭. 融合全局和近邻协同信息的会话推荐算法 [J]. 计算机应用研究, 2023, 40 (6): 1660-1665. (Wang Lunkang, Gao Maoting. Session-based recommendation algorithm fusing global and neighbor collaboration information [J]. Application Research of Computers, 2023, 40 (6): 1660-1665. )

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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