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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 2
493-497,510

Collaborative filtering model based on user complex network feature classification

Ai Jun
Dai Xinglong
Su Zhan
School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2022.07.0329

Abstract

Although collaborative filtering algorithms become widely applicable, they also suffer from the difficulties of scalability and extensibility. To address this problem, this paper proposed a collaborative filtering model for recommendation systems based on the classification of user complex network features(UCNFC). Firstly, the method selected feature users based on degree values in the user set and established similarity thresholds to implement groups of non-feature users. Then, user-user similarity constructed the network and completed the community labeling in the network by K-core decomposition. Finally, the target users chose their neighbors within themselves group to accomplish movie rating prediction. Experimental results of Movie-Lens and Netflix datasets show that the proposed method improves both temporal and spatial performance compared with the classical collaborative filtering algorithm, is more excellent scalability and extensibility.

Foundation Support

国家自然科学基金资助项目(61803264)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0329
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 2
Section: Algorithm Research & Explore
Pages: 493-497,510
Serial Number: 1001-3695(2023)02-030-0493-05

Publish History

[2022-09-20] Accepted Paper
[2023-02-05] Printed Article

Cite This Article

艾均, 戴兴龙, 苏湛. 基于用户复杂网络特征分类的协同过滤模型 [J]. 计算机应用研究, 2023, 40 (2): 493-497,510. (Ai Jun, Dai Xinglong, Su Zhan. Collaborative filtering model based on user complex network feature classification [J]. Application Research of Computers, 2023, 40 (2): 493-497,510. )

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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