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Algorithm Research & Explore
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2304-2310

Microblog recommendation model based on propagation trees

Xu Jianmin
Zhang Zhaoyuan
School of Cyberspace Security & Computer, Hebei University, Baoding Hebei 071000, China

Abstract

The paper proposed a new microblog recommendation model based on propagation trees to address the issue that the current microblog recommendation models had not considered the propagation feature. Firstly, it used the tree structure to represent the microblog propagation feature, with the content, time, and user features forming the nodes of the tree and the forward and comment relationships of the microblog as the edges of the tree. Then, it calculated the propagation path similarity and propagation layer similarity between the to-be-evaluated microblog propagation tree and each microblog propagation tree of the target user. Based on the association relation and hierarchical relation among nodes, it quantified the structural similarity between the two propagation trees. Finally, it sorted all the to-be-evaluated microblogs according to their similarity and generated recommendation lists to achieve microblog recommendations. The experimental results show that the model improves by 13.0%, 9.6%, and 10.7% in precision, recall, and F1-value, respectively, compared with the microblog recommendation model without considering the propagation feature. The reasonable use of the microblog propagation feature can improve the reliability of recommendation results and enhance the user experience.

Foundation Support

河北省社会科学基金资助项目(HB21TQ005)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0823
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Algorithm Research & Explore
Pages: 2304-2310
Serial Number: 1001-3695(2023)08-010-2304-07

Publish History

[2023-03-20] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

徐建民, 张钊源. 基于传播树的微博推荐模型 [J]. 计算机应用研究, 2023, 40 (8): 2304-2310. (Xu Jianmin, Zhang Zhaoyuan. Microblog recommendation model based on propagation trees [J]. Application Research of Computers, 2023, 40 (8): 2304-2310. )

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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