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Efficient heuristics for optimally matching buyers and sellers in E-Marketplaces

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dc.contributor.advisor Dr.Peter Haddawy (Chairman) en_US
dc.contributor.advisor Prof. Phan Minh Dung (Member) en_US
dc.contributor.advisor Dr. Sumanta Guha (Member) en_US
dc.contributor.author Bui Cong Giao en_US
dc.date.accessioned 2015-01-12T10:44:56Z
dc.date.available 2015-01-12T10:44:56Z
dc.date.issued 2003 en_US
dc.identifier.other AIT Thesis no.IM-03-07 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/543
dc.description 87 p. en_US
dc.description.abstract This thesis addresses the problem of matching buyers and sellers in barter trade exchange e-marketplaces. A barter trade exchange is a collection of businesses that buy and sell products among themselves. The collection of businesses is viewed as a micro-economy, so that matching is viewed from an economic perspective. An optimal matching seeks to maximize trade volume and to ensure that all companies share in the trade. The matching problem is given a formal representation and an efficient heuristic search algorithm is developed to solve it. The quality of solution of the heuristic search algorithm is evaluated by comparing it to the optimal solution obtained by exhaustive search on a large set of problems. The algorithm is shown to be fast enough to deal with very large real-world problems. The developed technique has the potential to greatly benefit the barter trade exchange industry as the size of trade exchanges grows. en_US
dc.description.sponsorship HoChiMinh City Post and Telecommunications en_US
dc.language.iso en en_US
dc.publisher Asian Institute of Technology en_US
dc.relation.ispartofseries AIT Publications; en_US
dc.subject Electronic commerce en_US
dc.subject Barter Exchanges en_US
dc.title Efficient heuristics for optimally matching buyers and sellers in E-Marketplaces en_US
dc.type Thesis en_US

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