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App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 2

AACD: adaptive attribute-collaborative material diffusion recommendation algorithm

Qian Xiaodong
Wang Rukuan
School of Economics & Management, Lanzhou Jiaotong University, Lanzhou 730070, China
DOI: 10.19734/j.issn.1001-3695.2025.06.0213

Abstract

To address the limitations of traditional bipartite-based mass diffusion algorithms in capturing user preference heterogeneity and item attribute diversity, an Adaptive Attribute-Collaborative Material Diffusion algorithm (AACD) was proposed. First, an attribute competitiveness coefficient was introduced to capture user preferences in a differentiated manner. Second, a user–attribute coupling structure was constructed to adaptively regulate diffusion paths and intensities, thereby mining higher-order collaborative signals and enhancing the flexibility of resource propagation. Finally, a steady-state solution analysis was further applied to ensure algorithmic convergence. Experiments were conducted on three public datasets including Ciao, MoiveLens-100K and MovieLens-1M. The results show that on the MovieLens-1M dataset, recall@N, precision@N, and NDCG@N increased by 6.57%, 7.03%, and 11.37% respectively compared with the best baseline model. These results demonstrate that AACD effectively alleviates resource allocation bias and popularity shift, achieving improved recommendation accuracy and robustness.

Foundation Support

甘肃省自然科学基金项目(23JRRA898)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.06.0213
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 2

Publish History

[2025-10-27] Accepted Paper

Cite This Article

钱晓东, 王汝宽. AACD:基于属性协同的自适应物质扩散推荐算法 [J]. 计算机应用研究, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0213. (Qian Xiaodong, Wang Rukuan. AACD: adaptive attribute-collaborative material diffusion recommendation algorithm [J]. Application Research of Computers, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0213. )

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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