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A Simple and Approximately Optimal Mechanism for an Additive Buyer

Published: 16 June 2020 Publication History

Abstract

We consider a monopolist seller with n heterogeneous items, facing a single buyer. The buyer has a value for each item drawn independently according to (non-identical) distributions, and her value for a set of items is additive. The seller aims to maximize his revenue.
We suggest using the a priori better of two simple pricing methods: selling the items separately, each at its optimal price, and bundling together, in which the entire set of items is sold as one bundle at its optimal price. We show that for any distribution, this mechanism achieves a constant-factor approximation to the optimal revenue. Beyond its simplicity, this is the first computationally tractable mechanism to obtain a constant-factor approximation for this multi-parameter problem. We additionally discuss extensions to multiple buyers and to valuations that are correlated across items.

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cover image Journal of the ACM
Journal of the ACM  Volume 67, Issue 4
August 2020
265 pages
ISSN:0004-5411
EISSN:1557-735X
DOI:10.1145/3403612
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 16 June 2020
Accepted: 01 May 2020
Revised: 01 December 2019
Received: 01 January 2019
Published in JACM Volume 67, Issue 4

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Author Tags

  1. Mechanism design
  2. approximation
  3. auction design
  4. revenue
  5. simple vs. optimal

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