TY - GEN
T1 - Online auctions
T2 - 20th International Symposium on Computer and Information Sciences, ISCIS 2005
AU - Shehory, Onn
PY - 2005
Y1 - 2005
N2 - On-line auctions constitute a multi-billion market, which is still growing in size and reach. Classical theory of auctions offers on-line auctioneers opportunities for maximizing gains, as long as they carefully select appropriate mechanisms for the market of interest. Studies in recent years have provided auctioneers with additional, improved mechanisms and strategies for maximizing profits. In this respect, on-line auctioneers utilize the state of the art in auction theory, in practicality. In contrast, bidders in electronic auctions hardly use optimal strategies known in classical auction theory, let alone more recent results on optimal bidding. Researchers have suggested that agents could simplify the implementation of optimized bidder strategies. Such solutions, although well studied, analyzed and demonstrated, are rarely found in commercial applications. In this lecture we will present examples of current commercial online auctions and the gains they provide the auctioneer side with. We will further present some recent research results on automated and optimized bidding and the use of agents for such bidding. Following these, we will discuss the major enables and inhibitors of commercial bidder side agents. We will conclude with an open discussion on the future of bidder-side agents.
AB - On-line auctions constitute a multi-billion market, which is still growing in size and reach. Classical theory of auctions offers on-line auctioneers opportunities for maximizing gains, as long as they carefully select appropriate mechanisms for the market of interest. Studies in recent years have provided auctioneers with additional, improved mechanisms and strategies for maximizing profits. In this respect, on-line auctioneers utilize the state of the art in auction theory, in practicality. In contrast, bidders in electronic auctions hardly use optimal strategies known in classical auction theory, let alone more recent results on optimal bidding. Researchers have suggested that agents could simplify the implementation of optimized bidder strategies. Such solutions, although well studied, analyzed and demonstrated, are rarely found in commercial applications. In this lecture we will present examples of current commercial online auctions and the gains they provide the auctioneer side with. We will further present some recent research results on automated and optimized bidding and the use of agents for such bidding. Following these, we will discuss the major enables and inhibitors of commercial bidder side agents. We will conclude with an open discussion on the future of bidder-side agents.
UR - http://www.scopus.com/inward/record.url?scp=33646516820&partnerID=8YFLogxK
U2 - 10.1007/11569596_2
DO - 10.1007/11569596_2
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AN - SCOPUS:33646516820
SN - 3540294147
SN - 9783540294146
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 2
BT - Computer and Information Sciences - ISCIS 2005 - 20th International Symposium, Proceedings
Y2 - 26 October 2005 through 28 October 2005
ER -