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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 10

Joint content caching and recommendation decision-making scheme in mobile edge networks

Zhou Jipeng1,2
Tang Piao2
1. School of Artificial Intelligence, Guangzhou Huashang College, Guangzhou 511300, China
2. School of Information Science & Technology, Jinan University, Guangzhou 510632, China
DOI: 10.19734/j.issn.1001-3695.2025.03.0079

Abstract

Content caching at the mobile edge network is an effective way of mitigating backhaul load and improving user experience. The recent studies have found that the combination of caching and recommendation can improve the efficiency of edge caching and reduce the transmission delay. Under the collaborative edge caching network model with recommendation support, the problem of edge caching and content recommendation is modeled as a Multi-agent multi-armed bandit problem. Firstly, the paper used GCN model to predict user preferences and obtain content popularity; Secondly, with defining the recommended exploration window based on user tolerance rate for content recommendation, the paper designed the strategy of exploration and utilization and the strategy of income renewal, and proposed a multi-armed bandit based caching and recommendation algorithm MAMAB-JCR to implement caching and recommendation joint decisions. Finally, the paper compared the proposed MAMAB-JCR algorithm with three baseline algorithms(DDQN, JCCR and MAMAB-C) in experiments, the experimental results show that the proposed algorithm can reduce delay of content transmission, enhance cache hit ratio and improve user experience.

Foundation Support

国家自然科学基金资助项目(62272198,62172189)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.03.0079
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 10

Publish History

[2025-06-04] Accepted Paper

Cite This Article

周继鹏, 唐飘. 移动边缘网络的内容缓存和推荐联合决策方案 [J]. 计算机应用研究, 2025, 42 (10). (2025-06-04). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0079. (Zhou Jipeng, Tang Piao. Joint content caching and recommendation decision-making scheme in mobile edge networks [J]. Application Research of Computers, 2025, 42 (10). (2025-06-04). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0079. )

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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