iBundle: An Efficient Ascending Price Bundle Auction

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iBundle: An Efficient Ascending Price Bundle Auction

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Title: iBundle: An Efficient Ascending Price Bundle Auction
Author: Parkes, David C.
Citation: Parkes, David C. 1999. iBundle: An efficient ascending price bundle auction. In Proceedings of the ACM Conference on Electronic Commerce (EC'99): November 3-5, 1999, Denver, Colorado, ed. S. Feldman, and ACM Special Interest Group on Electronic Commerce, 148-157. New York: ACM Press.
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Abstract: Standard auction mechanisms often break down in important e-commerce applications, where agents demand bundles of complementary resources, i.e. "I only want B if I also get A". This paper describes iBundle, an ascending-price auction that is guaranteed to compute optimal bundle allocations with agents that follow a best-response bidding strategy. The auction prices bundles directly and allows agents to place additive or exclusive-or bids over collections of bundles. Empirical results confirm that iBundle generates efficient allocations for hard resource allocation problems. Furthermore, we shoe that iBundle generates solutions without complete revelation (or computation) of agent preferences.
Published Version: doi:10.1145/336992.337032
Other Sources: http://www.eecs.harvard.edu/econcs/pubs/ibundle.pdf
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4101025

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  • FAS Scholarly Articles [7588]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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