Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 8
2370-2375

Differential privacy protection algorithm for explicit and implicit feedback based collaborative filtering

Sun Daozhua
Li Nana,b
Du Qiminga
Liu Wenfua,b
a. Dept. of Cyberspace Security Academy, b. State Key Laboratory of Mathematical Engineering & Advanced Computing, Information Engineering University, Zhengzhou 450000, China
DOI: 10.19734/j.issn.1001-3695.2020.11.0372

Abstract

As collaborative filtering recommendation algorithm relies on user data, there is a great risk of privacy leakage. Differential privacy protection technology can provide strict privacy protection effects, but most recommendation algorithms based on differential privacy do not consider implicit feedback data. To solve the problem, this paper proposed a new collaborative filtering recommendation algorithm based on differential privacy protection. Firstly, it performed matrix decomposition on the implicit feedback matrix to obtain the implicit eigenvectors of users and items. Then it merged the implicit eigenvectors into the solution of explicit feedback model. The algorithm satisfied ε-differential privacy protection by adding mean perturbation and gradient perturbation to the model. Finally this paper applied this algorithm to predict the score, and evaluated the effectiveness of the algorithm on the MovieLens dataset. Experimental results show that the algorithm can achieve an effective balance between the accuracy of recommendation results and privacy protection of users.

Foundation Support

国家自然科学基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.11.0372
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Algorithm Research & Explore
Pages: 2370-2375
Serial Number: 1001-3695(2021)08-022-2370-06

Publish History

[2021-08-05] Printed Article

Cite This Article

孙道柱, 李男, 杜启明, 等. 融合显隐式反馈协同过滤的差分隐私保护算法 [J]. 计算机应用研究, 2021, 38 (8): 2370-2375. (Sun Daozhu, Li Nan, Du Qiming, et al. Differential privacy protection algorithm for explicit and implicit feedback based collaborative filtering [J]. Application Research of Computers, 2021, 38 (8): 2370-2375. )

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  • Application Research of Computers Monthly Journal
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    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.

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