Robust preference assessment and online mechanism design

稳健的偏好评估和在线机制设计

• 批准号: 121843-2008
• 负责人: Boutilier, Craig
• 金额: $ 4.81万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=513692
• 关键词: Robust; preference; assessment; online; mechanism

The assessment of user preferences is critical to the development of decision support and interactive optimization tools The ability to customize decisions to the needs or desires of specific users or organizations is of great interest in a wide range of domains, including medical decision making, financial planning, procurement and supply chain management, product recommendation, personalized Web search, advertizing, user interface configuration, and many others. Making good or optimal decisions requires that a system know enough about a user's preferences (or utility function) to address the task at hand, and have the ability to trade off the costs of obtaining such preference information with the value of that information (i.e., its ability to improve decision quality).

用户偏好的评估对于决策支持和交互式优化工具的开发至关重要。根据特定用户或组织的需求或愿望定制决策的能力在广泛的领域中引起了极大的兴趣，包括医疗决策、财务规划、采购和供应链管理、产品推荐、个性化网络搜索、广告、用户界面配置等等。 做出良好或最佳的决策需要系统充分了解用户的偏好（或效用函数）来解决手头的任务，并且能够权衡获取此类偏好信息的成本与该信息的价值（即，其提高决策质量的能力）。