Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 1
62-65

Extreme gradient boosting recommendation algorithm with collaborative filtering

Cui Yan
Qi Wei
Pang Hailong
Zhao Hui
College of Computer Science & Engineering, Changchun University of Technology, Changchun 130012, China
DOI: 10.19734/j.issn.1001-3695.2018.06.0463

Abstract

Collaborative filtering has a sparse problem in data processing, which affects the accuracy of the recommendation algorithm. This paper proposed a recommendation algorithm combining collaborative filtering and XGBoost to explore the potential relationship between the project and the user based on the user's evaluation of the project and its own characteristics. It improved the recommendation accuracy of the algorithm. The results of experiments on the book-crossings data set using the Baidu deep learning framework PaddlePaddle show that, compared with the two algorithms in the literatures, the accuracy of the proposed algorithm is significantly improved.

Foundation Support

国家自然科学基金资助项目(61472049)
吉林省教育厅“十二五”科学技术研究项目(2014132)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0463
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 1
Section: Algorithm Research & Explore
Pages: 62-65
Serial Number: 1001-3695(2020)01-013-0062-04

Publish History

[2020-01-05] Printed Article

Cite This Article

崔岩, 祁伟, 庞海龙, 等. 融合协同过滤和XGBoost的推荐算法 [J]. 计算机应用研究, 2020, 37 (1): 62-65. (Cui Yan, Qi Wei, Pang Hailong, et al. Extreme gradient boosting recommendation algorithm with collaborative filtering [J]. Application Research of Computers, 2020, 37 (1): 62-65. )

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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