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Matchmaking Framework for B2B E-Marketplaces

Author(s): Fekete ZOLTAN ALPAR

Journal: Informatica Economica Journal
ISSN 1453-1305

Volume: 14;
Issue: 4;
Start page: 164;
Date: 2010;
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Keywords: B2B Electronic Marketplaces | Conceptual Framework | Matchmaking | Multi- Objective Genetic Algorithm | Pareto Optimal

In the recent years trading on the Internet become more popular. Online businesses gradually replace more and more from the conventional business. Much commercial information is exchanged on the internet, especially using the e-marketplaces. The demand and supply matching process becomes complex and difficult on last twenty years since the e-marketplaces play an important role in business management. Companies can achieve significant cost reduction by using e-marketplaces in their trade activities and by using matchmaking systems on finding the corresponding supply for their demand and vice versa. In the literature were proposed many approaches for matchmaking. In this paper we present a conceptual framework of matchmaking in B2B e-marketplaces environment.
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