Single-parameter combinatorial auctions with partially public valuations

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Abstract

We consider the problem of designing truthful auctions, when the bidders' valuations have a public and a private component. In particular, we consider combinatorial auctions where the valuation of an agent i for a set S of items can be expressed as v i f(S), where v i is a private single parameter of the agent, and the function f is publicly known. Our motivation behind studying this problem is two-fold: (a) Such valuation functions arise naturally in the case of ad-slots in broadcast media such as Television and Radio. For an ad shown in a set S of ad-slots, f(S) is, say, the number of unique viewers reached by the ad, and v i is the valuation per-unique-viewer. (b) From a theoretical point of view, this factorization of the valuation function simplifies the bidding language, and renders the combinatorial auction more amenable to better approximation factors. We present a general technique, based on maximal-in-range mechanisms, that converts any α-approximation non-truthful algorithm (α ≤ 1) for this problem into Ω(α/log n) and Ω(α)-approximate truthful mechanisms which run in polynomial time and quasi-polynomial time, respectively. © 2010 Springer-Verlag Berlin Heidelberg.

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Goel, G., Karande, C., & Wang, L. (2010). Single-parameter combinatorial auctions with partially public valuations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6386 LNCS, pp. 234–245). https://doi.org/10.1007/978-3-642-16170-4_21

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