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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 2
382-385

Big data linear regression recommendation algorithm based on scoring credibility

Liu Huan1
Dai Muhong1
Long Fei2
1. College of Computer Science & Electronic Engineering, Hunan University, Changsha 410082, China
2. College of Economic & Management, Changsha University, Changsha 410022, China
DOI: 10.19734/j.issn.1001-3695.2019.12.0667

Abstract

Aiming at the fact that traditional linear regression recommendation algorithms don't take into account influencing factors such as user interest drift, activity, and credibility, this paper proposed a linear regression recommendation algorithm incorporated credibility ratings to further improve the accuracy of the algorithm and the fit to user preferences. Firstly, this paper comprehensively considered the user's interest drift, activity and user evaluation information in the calculation method of user scoring credibility. Then it integrated this algorithm into the coefficient matrix solution process of traditional linear regression recommendation algorithm. Finally, it used the optimized linear regression recommendation algorithm to predict user scoring. In order to verify the accuracy of the algorithm, this paper compared the proposed algorithm with the traditional linear regression recommendation algorithms on Hadoop cluster and Amazon product scoring dataset. The experimental results show that the algorithm has significantly improved the processing efficiency, recommendation effect and fitting degree.

Foundation Support

国家社科基金资助项目(18CTQ030)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.12.0667
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 2
Section: Algorithm Research & Explore
Pages: 382-385
Serial Number: 1001-3695(2021)02-010-0382-04

Publish History

[2021-02-05] Printed Article

Cite This Article

刘欢, 戴牡红, 龙飞. 基于评分可信度的大数据线性回归推荐算法 [J]. 计算机应用研究, 2021, 38 (2): 382-385. (Liu Huan, Dai Muhong, Long Fei. Big data linear regression recommendation algorithm based on scoring credibility [J]. Application Research of Computers, 2021, 38 (2): 382-385. )

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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