Privacy-enhanced personalization for online learning

在线学习的隐私增强个性化

• 批准号: 41799-2007
• 负责人: Greer, Jim
• 金额: $ 2.08万
• 依托单位: University of Saskatchewan
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2010
• 资助国家: 加拿大
• 起止时间: 2010-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=450850
• 关键词: Privacy; enhanced; personalization; online; learning

Computer systems that personalize their actions in reaction to personal preferences or requirements of human users do so by building profiles of the users. These profiles are based on knowledge gained either from analysis of user interactions with the system or from outside data sources. In either circumstance, there is a potential threat to user privacy. Research by me and others has been devoted to providing personalization support while preserving user privacy. One key approach has been to separate the system's knowledge of the personal identity of the user from the behaviour that is being monitored. This can be achieved by providing a pseudonym for the user and associating behaviour information with the pseudonymous identity. But pseudonymity introduces both social and technical challenges for personalization systems.

计算机系统根据人类用户的个人偏好或需求将其行为个性化，通过建立用户档案来实现这一点。这些概要文件基于从与系统的用户交互的分析或从外部数据源获得的知识。在任何一种情况下，都存在对用户隐私的潜在威胁。我和其他人的研究一直致力于在保护用户隐私的同时提供个性化支持。一个关键的方法是将系统对用户个人身份的了解与被监控的行为分离开来。这可以通过为用户提供假名并将行为信息与假名身份相关联来实现。但假名给个性化系统带来了社会和技术上的挑战。