Single-parameter combinatorial auctions with partially public valuations

  • Authors:
  • Gagan Goel;Chinmay Karande;Lei Wang

  • Affiliations:
  • Google Inc.;Georgia Institute of Technology, Atlanta;Georgia Institute of Technology, Atlanta

  • Venue:
  • SAGT'10 Proceedings of the Third international conference on Algorithmic game theory
  • Year:
  • 2010

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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 vif(S), where vi 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 vi 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.