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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 12
3579-3582,3609

Research on recommendation algorithm based on user preference optimization model

Qiu Ningjiaa,b
He Zhuanga
Wang Penga
Li Yanfanga
a. School of Computer Science & Technology, b. Institute of Computer & Information Technology, Changchun University of Science & Technology, Changchun 130022, China
DOI: 10.19734/j.issn.1001-3695.2018.07.0433

Abstract

Traditional personalized recommendation algorithm generally suffers from the problem of data sparseness, which affects the accuracy of recommendation. The Slope One algorithm is simple and efficient, but the algorithm is only based on the user - project score matrix to analyze the data, ignoring the type characteristics of the project and the user's preference for the type of the project. In order to solve the above problems, this paper proposed the LR-Slope One algorithm. Firstly, it constructed the user's preference matrix based on user project score matrix and project type information. Secondly, it calculated the weight of each type by linear regression model and optimized the weight by random gradient descending algorithm. Finally, it predicted the score combined by Slope One, filled the scoring matrix, which improved the quality of recommendation. Experimental results show that the proposed algorithm improves the accuracy of recommendation and alleviates data sparseness effectively.

Foundation Support

吉林省重大科技招标项目(20170203004GX)
吉林省产业技术研究与开发专项项目(2016C090)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0433
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3579-3582,3609
Serial Number: 1001-3695(2019)12-012-3579-04

Publish History

[2019-12-05] Printed Article

Cite This Article

邱宁佳, 何壮, 王鹏, 等. 基于用户偏好优化模型的推荐算法研究 [J]. 计算机应用研究, 2019, 36 (12): 3579-3582,3609. (Qiu Ningjia, He Zhuang, Wang Peng, et al. Research on recommendation algorithm based on user preference optimization model [J]. Application Research of Computers, 2019, 36 (12): 3579-3582,3609. )

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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