Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 10
2938-2942

Parallel collaborative filtering recommendation algorithm based on social networks and key users

Xiao Chenglong
Wang Ning
Wang Yonggui
College of Software, Liaoning Technical University, Huludao Liaoning 125105, China
DOI: 10.19734/j.issn.1001-3695.2018.04.0245

Abstract

In order to solve the problems such as sparse data, cold start and lack of diversity of recommendation results in traditional collaborative filtering recommendation algorithms, this paper proposed a collaborative filtering recommendation algorithm that integrated social networking with key users. Based on the score matrix of user projects, the proposed algorithm integrated user social networks to derive social trust matrix, integrated key user information to obtain key user scoring matrix. And then it used these three matrix data distributions to predict user′s target project with different weights score. At the same time, aiming at the massive data problem, this paper used the Spark distributed cluster to realize the parallelization of the algorithm. The experimental results show that the proposed algorithm can effectively alleviate the data sparse problem and improve the data processing speed and recommendation accuracy.

Foundation Support

国家自然科学基金资助项目(61404069)
辽宁省教育厅一般科研项目(LJYL048)
辽宁省科技厅博士启动基金项目(20141140)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0245
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Algorithm Research & Explore
Pages: 2938-2942
Serial Number: 1001-3695(2019)10-012-2938-05

Publish History

[2019-10-05] Printed Article

Cite This Article

肖成龙, 王宁, 王永贵. 融合社交网络与关键用户的并行协同过滤推荐算法 [J]. 计算机应用研究, 2019, 36 (10): 2938-2942. (Xiao Chenglong, Wang Ning, Wang Yonggui. Parallel collaborative filtering recommendation algorithm based on social networks and key users [J]. Application Research of Computers, 2019, 36 (10): 2938-2942. )

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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