首页> 外文会议>Latin American Symposium on Theoretical Informatics; 20060320-24; Valdivia(CL) >On Behalf of the Seller and Society: Bicriteria Mechanisms for Unit-Demand Auctions
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On Behalf of the Seller and Society: Bicriteria Mechanisms for Unit-Demand Auctions

机译:代表卖方和社会:按需拍卖的双向标准机制

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This work obtains truthful mechanisms that aim at maximizing both the revenue and the economic efficiency (social welfare) of unit-demand auctions. In a unit-demand auction a set of k items is auctioned to a set of n consumers, and although each consumer bids on all items, no consumer can purchase more than one item. We present a framework for devising polynomial-time randomized truthful mechanisms that are based on a new variant of the Vickrey-Clarke-Groves (VCG) mechanism. Instead of using reserve prices, this variant of VCG uses the number of objects that we wish to sell as a parameter. Our mechanisms differ in their selection of the number of items to be sold, and allow an interesting trade-off between revenue and economic efficiency, while improving upon the state-of-the-art results for the Unit-Demand Auctions problem (Guruswami et. al.[SODA 2005]). Our probabilistic results depend on what we call the competitiveness of the auction, i.e., the minimum number of items that need to be sold in order to obtain a certain fraction of the maximum efficiency. We denote by T the optimal efficiency achieved by the VCG mechanism. Our efficiency-oriented mechanism achieves Ω(T) efficiency and Ω(T/ ln(min{k, n}) revenue with probability that grows with the competitiveness of the auction. We also show that no truthful mechanism can obtain an ω(T/ln(min{k,n}) expected revenue on every set of bids. In fact, the revenue-oriented mechanism we present achieves Ω(T/ ln(min{k,n}) efficiency and Ω(T/ln(min{k,n}) revenue, but the revenue can actually be much higher, even as large as Ω(T) for some bid distributions.
机译:这项工作获得了旨在使单位需求拍卖的收入和经济效率(社会福利)最大化的真实机制。在按需拍卖中,将一组k个项目拍卖给一组n个消费者,尽管每个消费者都对所有项目出价,但是没有一个消费者可以购买一个以上的项目。我们提出了一个基于Vickrey-Clarke-Groves(VCG)机制的新变体设计多项式时间随机真实机制的框架。 VCG的这种变体不是使用底价,而是使用我们希望出售的对象数量作为参数。我们的机制在选择要出售的物品数量方面有所不同,并允许在收益和经济效率之间进行有趣的折衷,同时改进了按需拍卖问题的最新结果(Guruswami等等[SODA 2005])。我们的概率结果取决于我们所说的拍卖竞争力,即为了获得最高效率的一部分而需要出售的最少物品数量。我们用T表示通过VCG机制获得的最佳效率。我们以效率为导向的机制可以实现Ω(T)的效率和Ω(T / ln(min {k,n})的收入,并且其概率随着拍卖的竞争能力而增长。 / ln(min {k,n})每组出价的预期收入。实际上,我们提出的以收入为导向的机制可实现Ω(T / ln(min {k,n})效率和Ω(T / ln( min {k,n})收入,但实际上收入可以高得多,对于某些出价分配,收入甚至可以达到Ω(T)。

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