The Design of Reputation Systems

声誉系统的设计

• 批准号: 9977999
• 负责人: Paul Resnick
• 金额: $ 36.23万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-15 至 2003-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9977999&HistoricalAwards=false
• 关键词: Design; Reputation; Systems

Reputation systems provide information about the past behavior of individuals or institutions. This information can help decision-makers choose partners for transactions. In addition, concern for one's reputation and its future consequences can constrain behavior. While word of mouth always disseminates reputations informally, computer networks can now vastly accelerate and add structure to the process, gathering information about past behavior swiftly and systematically, and distributing it to a broad audience. The proposed research seeks to: characterize the alternative designs for reputation systems; use game theory to understand alternative models of reputation systems; and examine empirically the performance of systems at work. The research should improve the design of reputation systems for computer-assisted marketplaces, thereby helping buyers and sellers find their most appropriate partners and reducing the risks inherent in interactions with strangers.

声誉系统提供有关个人或机构过去行为的信息。这些信息可以帮助决策者选择交易伙伴。此外，对个人声誉及其未来后果的担忧也会约束行为。 虽然口碑总是以非正式的方式传播声誉，但计算机网络现在可以大大加速这一过程，并为这一过程增加结构，迅速而系统地收集有关过去行为的信息，并将其分发给广大受众。拟议的研究旨在：表征声誉系统的替代设计;使用博弈论来理解声誉系统的替代模型;并从经验上研究系统在工作中的性能。这项研究应该改进计算机辅助市场的声誉系统的设计，从而帮助买卖双方找到最合适的合作伙伴，减少与陌生人互动的固有风险。