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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 4
1058-1064

Dual intent session-based recommendation integrating multi-layer graphs and classification information

Liu Chao
Wang Zhongdi
Yu Yanhua
Zhu Jun
School of Computer Science & Engineering, Chongqing University of Technology, Chongqing 400054, China
DOI: 10.19734/j.issn.1001-3695.2024.08.0323

Abstract

Aiming to address the issues in existing session-based recommendation systems, such as insufficient mining of information between sessions, redundant aggregation of information between sessions, and the lack of integration of auxiliary information with session features, this paper proposed a dual intent session-based recommendation model integrating multi-layer graph and classification information model(SRIMC). Firstly, based on session sequences, the paper constructed a local session graph, a session relationship graph, and a global project graph. By using GNN, the method learned the local session features, session relationship features, and global items session features, and combined these features to obtain the α-intent. Next, by integrating classification information and session length information using a Bayesian distribution that replaced the prior with a β-distribution, the method obtained the β-intent. Finally, α-intent and β-intent were combined for prediction. Experimental results on five public datasets show that the SRIMC model improves P@20 by 1.23% to 51.78% and MRR@20 by 2.87% to 80.87%, demonstrating the model's effectiveness in capturing user intent by leveraging multi-layer session information and classification information.

Foundation Support

2021年重庆市社会科学规划一般项目(2021NDYB101)
2023年重庆市教育委员会人文社会科学研究青年项目(23SKGH264)
2024年重庆理工大学高质量发展行动计划资助项目(gzlcx20243200)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.08.0323
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 4
Section: Algorithm Research & Explore
Pages: 1058-1064
Serial Number: 1001-3695(2025)04-012-1058-07

Publish History

[2025-04-05] Printed Article

Cite This Article

刘超, 王中迪, 余岩化, 等. 融合多层图与分类信息的双意图会话推荐 [J]. 计算机应用研究, 2025, 42 (4): 1058-1064. (Liu Chao, Wang Zhongdi, Yu Yanhua, et al. Dual intent session-based recommendation integrating multi-layer graphs and classification information [J]. Application Research of Computers, 2025, 42 (4): 1058-1064. )

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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