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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 12

Evolution of privacy protection in recommendation systems: technical advancements, evaluation frameworks, and synergistic development of privacy and utility

Wang Bin1a,1b,1c,2
Wang Chang1a,1b,2
Lyu Linghui1a,1b,2
Liu Yutao1a,1b,2
Zhang Lei1a,1b,2
1. a. School of Information & Electronic Technology, b. Heilongjiang Province Key Laboratory of Autonomous Intelligence & Information Processing, c. Science & Technology dept, Jiamusi University, Jiamusi Heilongjiang 154007, China
2. Jiamusi Key Laboratory of Satellite Navigation Technology & Equipment Engineering Technology, Jiamusi Heilongjiang 154007, China
DOI: 10.19734/j.issn.1001-3695.2025.04.0135

Abstract

The rapid development of the Internet and mobile technologies has significantly improved data collection and processing capabilities, enabling recommender systems to deeply mine user behavior and deliver more precise personalized services, improving user experience. However, the accumulation of vast amounts of data and the widespread use of recommender systems have also introduced severe privacy leakage risks. Achieving efficient recommendations while protecting privacy has become a key research focus. This study reviewed the evolution of privacy protection methods in recommender systems and identified key risk points in the recommendation process. It analyzed the design principles and application characteristics of existing methods and compared different approaches using evaluation metrics for privacy protection strength and recommendation effectiveness. It summarized the advantages and limitations of these methods, proposed optimization directions, and discussed possible future research paths. These results provide theoretical and practical guidance for the application of privacy protection mechanisms in recommender systems.

Foundation Support

智能与信息安全研发团队(2023-KYYWF-0639)
佳木斯大学国家基金培育项目(JMSUGPZR2022-014)
佳木斯大学博士启动基金资助项目(JMSUBZ2022-12)
黑龙江省省属本科高校优秀青年教师基础研究支持计划(YQJH2024239)
黑龙江省自然科学基金联合基金培育项目(PL2024F002)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.04.0135
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 12

Publish History

[2025-07-30] Accepted Paper

Cite This Article

王斌, 王畅, 吕灵慧, 等. 推荐系统中的隐私保护：技术演进、评估框架与隐私效用协同发展 [J]. 计算机应用研究, 2025, 42 (12). (2025-08-06). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0135. (Wang Bin, Wang Chang, Lyu Linghui, et al. Evolution of privacy protection in recommendation systems: technical advancements, evaluation frameworks, and synergistic development of privacy and utility [J]. Application Research of Computers, 2025, 42 (12). (2025-08-06). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0135. )

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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