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在线双边市场中的福利最大化

Welfare Maximization in Online Two-sided Marketplaces
课程网址: http://videolectures.net/kdd2019_gollapudi_welfare_maximization/  
主讲教师: Sreenivas Gollapudi
开课单位: 微软研究院
开课时间: 2020-03-02
课程语种: 英语
中文简介:
近年来,许多成功的电子商务市场平台如AirBnB、Uber/Lyft和Upwork都在崛起,在这些平台上,一个中央平台调解买家和卖家之间的经济交易。将此类市场与更传统的市场区分开来的一些共同特征是搜索和发现服务提供商,这可能导致服务的不对称匹配;由多个用户共享服务,例如乘坐共享;以及处理不同的偏好,如耐心、参与代理所表达的期望服务水平。在本次演讲中,我将总结我们在上述情景中产生的不同福利最大化战略方面的工作。
课程简介: Recent years have witnessed the rise of many successful e-commerce marketplace platforms like AirBnB, Uber/Lyft, and Upwork, where a central platform mediates economic transactions between buyers and sellers. Some common features that distinguish such marketplaces from more traditional marketplaces are search and discovery of the service providers which could result in asymmetric matching of services; sharing of a service by multiple users such as ride-sharing; and handling different preferences such as patience, desired level of service expressed by participating agents. In this talk, I will summarize our work on different welfare maximizing strategies arising out of the aforementioned scenarios.
关 键 词: 在线双边市场; 大数据科学; 福利最大化
课程来源: 视频讲座网
数据采集: 2022-09-15:cyh
最后编审: 2022-09-19:cyh
阅读次数: 22