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机器学习,市场设计和广告

Machine Learning, Market Design, and Advertising
课程网址: http://videolectures.net/bsciw08_hartline_mlmda/  
主讲教师: Jason D. Hartline
开课单位: 西北大学
开课时间: 2008-12-20
课程语种: 英语
中文简介:
考虑到关键词广告等市场偏好的复杂性,很难相信事实上的标准、分散的、本地的、贪婪的算法(广告商竞标关键字的点击量)对于任何合理的目标(福利、利润等)都接近最优。在这次演讲中,我们从全球的角度来考虑市场设计问题。我们将机器学习理论与市场设计理论联系起来,其中机器学习设计问题与博弈论设计问题紧密对应。我们将一般的市场设计理论问题简化为一个自然的机器学习优化问题。这些理论研究结果为广告市场设计问题提供了一些现实的答案。
课程简介: Given the complexity of preferences in markets such as key word advertising it is hard to believe that the de facto standard, decentralized, local, greedy algorithm (advertisers bid for clicks on keywords) is any where close to being optimal for any reasonable objective (welfare, profit, etc.). In this talk we consider the market design problem from a global perspective. We make connections between machine learning theory and market design theory, where machine learning design problems closely mirror game theoretic design problems. We reduce a general theoretical market design problem to a natural machine learning optimization problem. These theoretical results lead to a number of practical answers to advertising market design questions.
关 键 词: 市场设计; 机器学习理论; 市场设计理论
课程来源: 视频讲座网
最后编审: 2021-03-12:nkq
阅读次数: 64