Online Bipartite Matching and Adwords (Invited Talk)
Autor: | Vazirani, Vijay V. |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: | |
DOI: | 10.4230/lipics.mfcs.2022.5 |
Popis: | The purpose of this paper is to give a "textbook quality" proof of the optimal algorithm, called Ranking, for the online bipartite matching problem (OBM) and to highlight its role in matching-based market design. In particular, we discuss a generalization of OBM, called the adwords problem, which has had a significant impact in the ad auctions marketplace. LIPIcs, Vol. 241, 47th International Symposium on Mathematical Foundations of Computer Science (MFCS 2022), pages 5:1-5:11 |
Databáze: | OpenAIRE |
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