Algorithm Research & Explore
|
474-478

Recommendation of differential privacy scheme considering user interest analysis

Geng Xiuli
Wang Zhuxin
Business School, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

When calculating similarity, the existing differential privacy recommendation algorithms directly calculate based on user-scheme data, but ignore the influence of scheme attributes on user preferences, fail to reflect the real preferences of users, and cannot make accurate recommendations. To solve this problem, this paper proposed differential privacy recommendation method considering user interest analysis. In this method, it collected firstly users' interest ratings for scheme attributes, and secondly clustered the user-scheme attributes rating data by K-means++. Then, it used the differential privacy algorithm to select the nearest users, and recommended suitable schemes for the target user. Finally, taking the recommendation of nursing home schemes as an example, the experimental results show that compared with KDPC, DPCF and PNCF, the proposed algorithm can reduce the mean absolute error by about 19.0%, 34.0% and 37.7% under the same privacy budget. The mean absolute error decreases by 10.4%, 20.3% and 21.4% for the same size of the nearest neighbor set. Therefore, based on protecting the privacy of users, the algorithm further improves the recommendation accuracy.

Foundation Support

国家自然科学基金资助项目(71301104)
国家教育部人文社会科学研究规划基金资助项目(19YJA630021)
高等学校博士学科点专项科研基金资助项目(20133120120002)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.06.0265
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 2
Section: Algorithm Research & Explore
Pages: 474-478
Serial Number: 1001-3695(2022)02-025-0474-05

Publish History

[2021-09-18] Accepted Paper
[2022-02-05] Printed Article

Cite This Article

耿秀丽, 王著鑫. 考虑用户兴趣分析的差分隐私方案推荐 [J]. 计算机应用研究, 2022, 39 (2): 474-478. (Geng Xiuli, Wang Zhuxin. Recommendation of differential privacy scheme considering user interest analysis [J]. Application Research of Computers, 2022, 39 (2): 474-478. )

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.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)