比例互补的简单近似最优定价

Yang Cai, Nikhil R. Devanur, Kira Goldner, R. McAfee
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引用次数: 2

摘要

我们研究了一个新的互补估值模型,我们称之为“比例互补”。“与常见的模型(如超图形估值)不同,在我们的模型中,我们并不假设拥有一组物品所获得的额外价值与买家对这些物品的基本估值无关。相反,我们将互补性建模为与买方基本估值成比例的模型,这些比例是已知的市场参数。我们的目标是设计一个简单的定价方案,对于具有比例互补性的单个买家,产生大约最优的收益。我们定义了一类新的机制,其中一些道具是免费赠送的,剩下的道具以高价单独出售。我们发现,这种机制越好,出售大捆绑的收益就越接近成对比例互补的最优收益。这证实了一种直觉,即在互补性存在的情况下,物品不应该完全单独出售。在更一般的情况下,买家有一个比例正超图估值的最大值,其中给定超图中的超边缘描述了通过拥有任何一组额外的物品T来提高买家对物品i的价值。这种超图的最大出度为d, k为该超图的正秩。对于这些参数给出的估值,我们的简单定价方案是O(min{d,k})逼近。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simple and Approximately Optimal Pricing for Proportional Complementarities
We study a new model of complementary valuations, which we call "proportional complementarities.'' In contrast to common models, such as hypergraphic valuations, in our model, we do not assume that the extra value derived from owning a set of items is independent of the buyer's base valuations for the items. Instead, we model the complementarities as proportional to the buyer's base valuations, and these proportionalities are known market parameters. Our goal is to design a simple pricing scheme that, for a single buyer with proportional complementarities, yields approximately optimal revenue. We define a new class of mechanisms where some number of items are given away for free, and the remaining items are sold separately at inflated prices. We find that the better of such a mechanism and selling the grand bundle earns a 12-approximation to the optimal revenue for pairwise proportional complementarities. This confirms the intuition that items should not be sold completely separately in the presence of complementarities. In the more general case, a buyer has a maximum of proportional positive hypergraphic valuations, where a hyperedge in a given hypergraph describes the boost to the buyer's value for item i given by owning any set of items T in addition. The maximum-out-degree of such a hypergraph is d, and k is the positive rank of the hypergraph. For valuations given by these parameters, our simple pricing scheme is an O(min{d,k})-approximation.
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