AIR: Sophisticated Electronic Markets for TV Advertising, Powered by Novel Optimization

AIR:由新颖优化提供支持的复杂的电视广告电子市场

基本信息

  • 批准号:
    1127832
  • 负责人:
  • 金额:
    $ 30万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-08-01 至 2015-07-31
  • 项目状态:
    已结题

项目摘要

The proposed project utilizes advances in key classic computer science problems such as search tree restructuring to implement an optimized auction system for acquisition/sale of media advertising time. The proposed system would move away from the current manually negotiated approach to an expressive auction approach in which buyers can express rich preferences and constraints through which they can more effectively conduct their campaigns. The optimization software of the PI currently underlies the nationwide kidney exchange. This effort will scale and adapt the PI's prior work in expressive auctions for transportation and medical markets to match the richness of the TV market. Based on requirements gathering to be undertaken, a prototype application for the TV ad market will be completed. The proposed work has the potential to reap significant savings though efficiencies and added derived value obtained for the expressive auction approach. This is anticipated by the PI to be anywhere from 13-41% of the current $75B market. Moreover, implementation of these approaches has the potential to create fairer and open markets while consumers benefit from viewing of ads relevant to their interests and needs. The approach has broader application in other areas such as electricity and pollution rights/credits as well as other media markets. The effort has a relationship within an established innovation ecosystem at CMU and a new small company will be launched.
建议的项目利用先进的关键经典计算机科学问题,如搜索树重组,实现一个优化的拍卖系统收购/销售的媒体广告时间。拟议的系统将从目前的手动协商方法转向表达性拍卖方法,在这种方法中,买家可以表达丰富的偏好和限制,通过这些偏好和限制,他们可以更有效地开展活动。PI的优化软件目前是全国肾脏交换的基础。这项工作将扩大和调整PI先前在运输和医疗市场的表现性拍卖中的工作,以匹配电视市场的丰富性。根据需求收集进行,电视广告市场的原型应用程序将完成。拟议的工作有可能获得显着的节省,虽然效率和附加衍生价值的表达拍卖方法。PI预计这将占当前750亿美元市场的13-41%。此外,这些方法的实施有可能创造更公平和开放的市场,而消费者则从观看与其兴趣和需求相关的广告中受益。这一办法在电力和污染权/信贷以及其他媒体市场等其他领域也有更广泛的应用。这项工作与CMU现有的创新生态系统有关系,一家新的小公司将成立。

项目成果

期刊论文数量(0)
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会议论文数量(0)
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Tuomas Sandholm其他文献

Computing optimal outcomes under an expressive representation of settings with externalities
  • DOI:
    10.1016/j.jcss.2011.02.009
  • 发表时间:
    2012-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Vincent Conitzer;Tuomas Sandholm
  • 通讯作者:
    Tuomas Sandholm
Optimal Flow Aggregation
最优流量聚合
  • DOI:
    10.1007/3-540-44985-x_39
  • 发表时间:
    2000
  • 期刊:
  • 影响因子:
    0
  • 作者:
    S. Suri;Tuomas Sandholm;P. Warkhede
  • 通讯作者:
    P. Warkhede
Side constraints and non-price attributes in markets
  • DOI:
    10.1016/j.geb.2005.06.001
  • 发表时间:
    2006-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Tuomas Sandholm;Subhash Suri
  • 通讯作者:
    Subhash Suri
Automated negotiation
  • DOI:
    10.1145/295685.295866
  • 发表时间:
    1999-03
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Tuomas Sandholm
  • 通讯作者:
    Tuomas Sandholm
Multiagent Systems A Modern Approach to Distributed Artificial Intelligence
  • DOI:
  • 发表时间:
    1999
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Tuomas Sandholm
  • 通讯作者:
    Tuomas Sandholm

Tuomas Sandholm的其他文献

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{{ truncateString('Tuomas Sandholm', 18)}}的其他基金

RI: Medium: Techniques for Massive-Scale Strategic Reasoning: Imperfect-Information Subgame Solving and Offering Guarantees in Simulation-Based Games
RI:中:大规模战略推理技术:不完美信息子博弈解决并在模拟游戏中提供保证
  • 批准号:
    2312342
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
RI: Small: New Computational Techniques and Market Designs for Kidney Exchanges and Other Barter Markets
RI:小型:肾脏交换和其他易货市场的新计算技术和市场设计
  • 批准号:
    1718457
  • 财政年份:
    2017
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
RI: Small: Computational Techniques for Large Multi-Step Incomplete-Information Games
RI:小型:大型多步不完全信息博弈的计算技术
  • 批准号:
    1617590
  • 财政年份:
    2016
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
EAGER: Exploiting a myopic opponent in imperfect-information games: Toward medical applications
EAGER:在不完美信息游戏中利用短视的对手:迈向医疗应用
  • 批准号:
    1546752
  • 财政年份:
    2015
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
RI: Small: Expressiveness and Automated Bundling in Mechanism Design: Principles and Computational Methodologies
RI:小:机制设计中的表现力和自动捆绑:原理和计算方法
  • 批准号:
    1320620
  • 财政年份:
    2013
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
ICES: Small: New and Better Markets via Automated Market Making
ICES:小型:通过自动化做市创造新的、更好的市场
  • 批准号:
    1101668
  • 财政年份:
    2011
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
RI: Mediuim: Abstraction, Equilibrium Finding, Safe Opponent Exploitation, and Robust Strategies for Imperfect-Information Games
RI:Mediuim:不完美信息博弈的抽象、均衡发现、安全对手利用和稳健策略
  • 批准号:
    0964579
  • 财政年份:
    2010
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
RI: Medium: Algorithms for Robust Barter Exchanges, with Application to Kidneys
RI:媒介:稳健的易货交换算法,适用于肾脏
  • 批准号:
    0905390
  • 财政年份:
    2009
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
ITR - (ECS+ASE) - (dmc+soc): Automated Mechanism Design
ITR - (ECS ASE) - (dmc soc):自动化机构设计
  • 批准号:
    0427858
  • 财政年份:
    2004
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
CAREER: Coalition Formation Among Self-Interested Computationally Limited Agents
职业:在自利的、计算受限的智能体之间形成联盟
  • 批准号:
    0234693
  • 财政年份:
    2001
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant

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