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Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 3
851-855

Differential privacy matrix factorization recommendation algorithm fusing tag similarity

Zheng Jian
Wang Xiaoqian
School of Information Engineering, Jiangxi University of Science & Technology, Ganzhou Jiangxi 341000, China
DOI: 10.19734/j.issn.1001-3695.2018.08.0654

Abstract

The recommendation system needs to utilize a large amount of user data, which may expose the user's preferences and pose a huge challenge to the privacy concerns. To ensure the accuracy of recommendation and user privacy, this paper proposed a matrix factorization recommendation model combining differential privacy and tag information. Firstly, the model added the tag information to the process of calculating item similarity, then integrated it into the recommendation model to improve the recommendation accuracy. Finally, this paper solved the model optimal value by the stochastic gradient descent method. For protecting users from privacy threats, the proposed approach divided Laplace noise into two parts, which were added to the process of item similarity and gradient solution respectively, so that the whole recommendation process satisfied the differential privacy. It verified the validity of the algorithm on a real data set. Experimental results show that the proposed method has high recommendation accuracy while protecting users' privacy.

Foundation Support

国家自然科学基金资助项目(61462034)
江西省教育厅科学技术研究项目(GJJ170517)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0654
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 3
Section: Technology of Information Security
Pages: 851-855
Serial Number: 1001-3695(2020)03-046-0851-05

Publish History

[2020-03-05] Printed Article

Cite This Article

郑剑, 王啸乾. 融合标签相似度的差分隐私矩阵分解推荐算法 [J]. 计算机应用研究, 2020, 37 (3): 851-855. (Zheng Jian, Wang Xiaoqian. Differential privacy matrix factorization recommendation algorithm fusing tag similarity [J]. Application Research of Computers, 2020, 37 (3): 851-855. )

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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