个性化信息检索中用户偏好隐私保护:挑战与综述

IF 0.8 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Zongda Wu, Chenglang Lu, Youlin Zhao, Jian Xie, Dongdong Zou, Xinning Su
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引用次数: 8

摘要

摘要本文综述了大量非信任网络环境下用户隐私保护的相关研究成果,并对其在个性化信息检索中的应用局限性进行了分析和评价,建立了个性化信息检索中用户偏好隐私保护的有效方法应满足的条件约束,为解决这一问题提供了基本参考。首先,基于个性化信息检索平台的基本框架,从安全性、可用性、效率和准确性等方面建立了一套完整的用户偏好隐私保护约束。然后,根据偏好隐私保护的约束,综合评述了目前流行的各种用户隐私保护方法的技术特点,分析了其在个性化信息检索中的应用局限性。结果表明,个性化信息检索对用户隐私保护提出了更高的要求,即需要在不改变个性化信息检索平台、算法、效率和准确性的前提下,全面提高用户在不可信服务器端的偏好隐私安全性。然而,现有的各种隐私保护方法仍不能满足上述要求。本文对个性化信息检索中用户偏好隐私保护问题进行了重要的研究尝试,可以为该问题的进一步研究提供基本的参考和方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Protection of User Preference Privacy in Personalized Information Retrieval: Challenges and Overviews
Abstract This paper reviews a large number of research achievements relevant to user privacy protection in an untrusted network environment, and then analyzes and evaluates their application limitations in personalized information retrieval, to establish the conditional constraints that an effective approach for user preference privacy protection in personalized information retrieval should meet, thus providing a basic reference for the solution of this problem. First, based on the basic framework of a personalized information retrieval platform, we establish a complete set of constraints for user preference privacy protection in terms of security, usability, efficiency, and accuracy. Then, we comprehensively review the technical features for all kinds of popular methods for user privacy protection, and analyze their application limitations in personalized information retrieval, according to the constraints of preference privacy protection. The results show that personalized information retrieval has higher requirements for users’ privacy protection, i.e., it is required to comprehensively improve the security of users’ preference privacy on the untrusted server-side, under the precondition of not changing the platform, algorithm, efficiency, and accuracy of personalized information retrieval. However, all kinds of existing privacy methods still cannot meet the above requirements. This paper is an important study attempt to the problem of user preference privacy protection of personalized information retrieval, which can provide a basic reference and direction for the further study of the problem.
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
25
期刊介绍: Libri, International Journal of Libraries and Information Services, investigates the functions of libraries and information services from both a historical and present-day perspective and analyses the role of information in cultural, organizational, national and international developments. The periodical reports on current trends in librarianship worldwide and describes the transformation of libraries and information services resulting from the introduction of new information technologies and working methods. Background information and the latest research findings in librarianship and information science are made accessible to experts and a broader public. Articles are in English and conform to the highest academic standards.
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