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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 10
2932-2936

Recommendation algorithm for improving project multi-attribute classification

Qiu Ningjia
Xue Lijiao
He Jinbiao
Wang Peng
Yang Huamin
College of Computer Science & Technology, Changchun University of Science & Technology, Changchun Jilin 130022, China
DOI: 10.19734/j.issn.1001-3695.2019.06.0199

Abstract

The traditional measurement method of similarity ignores the project of multi-attribute category differences. To avoid this problem, this paper proposed a recommendation algorithm for improving project multi-attribute classification. Firstly, it used the project-user membership matrix to explore the affiliation and created a similar neighbor FP-Tree to extract the nearest neighbor set. Then it analyzed the common item similarity between users and the difference of the project multi-attribute classification, and used the weight factor to combine the common project with multi-attribute classification. It constructed the CNB model to measure the similarity degree of neighbors. Finally, it sorted the similar users in descending order to obtain more accurate similar users and complete the recommendation work. In virtue of the medical dataset, it verified the effectiveness of the proposed algorithm. The experimental results show that the recommendation accuracy of time complexity and mean of average accuracy have been improved.

Foundation Support

吉林省科技发展计划技术攻关项目(20190302118GX):吉林省教育厅“十三五”科学技术项目(JJKH20190600KJ)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.06.0199
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 10
Section: Algorithm Research & Explore
Pages: 2932-2936
Serial Number: 1001-3695(2020)10-010-2932-05

Publish History

[2020-10-05] Printed Article

Cite This Article

邱宁佳, 薛丽娇, 贺金彪, 等. 一种改进项目多属性类别划分的推荐算法 [J]. 计算机应用研究, 2020, 37 (10): 2932-2936. (Qiu Ningjia, Xue Lijiao, He Jinbiao, et al. Recommendation algorithm for improving project multi-attribute classification [J]. Application Research of Computers, 2020, 37 (10): 2932-2936. )

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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