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1,313
Improved algorithms for optimal winner determination in combinatorial auctions and generalizations
, 2000
"... Combinatorial auctions can be used to reach efficient resource and task allocations in multiagent systems where the items are complementary. Determining the winners is NP-complete and inapproximable, but it was recently shown that optimal search algorithms do very well on average. This paper present ..."
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Cited by 582 (53 self)
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Combinatorial auctions can be used to reach efficient resource and task allocations in multiagent systems where the items are complementary. Determining the winners is NP-complete and inapproximable, but it was recently shown that optimal search algorithms do very well on average. This paper
An Application Tool for Collecting Real Auction Data
"... Abstract. Online auctions are a rapidly growing platform to exchange items of just about anything, from common to collectors ’ items in different region around the world. Researchers continue their efforts to understand further the real behaviour and bidding patterns of buyers and sellers, the fraud ..."
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, the fraudulent traits and even devise countermeasures to prevent auction fraud. Most often, the researchers ’ noble work ends with frustration due to unavailability of real auction data. Online auction sources are unwilling to provide the real auction data and often cite “commercial, security and privacy
Identification of the Joint Value Distribution from Auction Data
, 2009
"... This paper presents results showing sufficient conditions for identifying the joint distribution of valuations for differentiated products using secondprice auction data. That is, the paper suggests methods for estimating the cross-elasticity of demand between products using on-line auction data. Th ..."
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This paper presents results showing sufficient conditions for identifying the joint distribution of valuations for differentiated products using secondprice auction data. That is, the paper suggests methods for estimating the cross-elasticity of demand between products using on-line auction data
Functional data analysis for sparse auction data
- In Statistical Methods in eCommerce Research
, 2008
"... Bid arrivals of eBay auctions often exhibit “bid sniping”, a phenomenon where “snipers ” place their bids at the last moments of an auction. This is one reason why bid histories for eBay auctions tend to have sparse data in the middle and denser data both in the beginning and at the end of the aucti ..."
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Cited by 14 (5 self)
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Bid arrivals of eBay auctions often exhibit “bid sniping”, a phenomenon where “snipers ” place their bids at the last moments of an auction. This is one reason why bid histories for eBay auctions tend to have sparse data in the middle and denser data both in the beginning and at the end
1Cleaning of Auction Data for Bidding Decision
"... Bidding for products on the Internet has become a common activity in our daily life. However, it’s a tedious problem that there are too many items for the bidder to select the cheapest one. In the results providing by eBay, only a small number of results are target items. This is a common situation ..."
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while the user is searching for a main product in 3C. We aim at helping the bidder compare items easily on auction websites. In this thesis we propose CADBid, which is a web-based system built between auction websites and the bidder. CADBid is able to automatically filter out non-target items and clean
ESTIMATING RISK AVERSION FROM ASCENDING AND SEALED-BID AUCTIONS: THE CASE OF TIMBER AUCTION DATA
, 2006
"... Estimating bidders’ risk aversion in auctions is a challeging problem because of identification issues. This paper takes advantage of bidding data from two auction designs to identify nonparametrically the bidders’ utility function within a private value framework. In particular, ascending auction d ..."
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Cited by 8 (0 self)
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Estimating bidders’ risk aversion in auctions is a challeging problem because of identification issues. This paper takes advantage of bidding data from two auction designs to identify nonparametrically the bidders’ utility function within a private value framework. In particular, ascending auction
Last-Minute Bidding and the Rules for Ending Second-Price Auctions: Evidence from eBay and Amazon Auctions on the Internet
, 2002
"... Auctions on the Internet provide a new source of data on how bidding is influenced by the detailed rules of the auction. Here we study the second-price auctions run by eBay and Amazon, in which a bidder submits a reservation price and has this (maximum) price used to bid for him by proxy. That is, a ..."
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Cited by 304 (21 self)
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Auctions on the Internet provide a new source of data on how bidding is influenced by the detailed rules of the auction. Here we study the second-price auctions run by eBay and Amazon, in which a bidder submits a reservation price and has this (maximum) price used to bid for him by proxy. That is
Economic values of pork attributes: Hedonic price analysis of experimental auction data
- Rev. Agric. Econ
, 1996
"... prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. Please contact the publisher regarding any further use of this work. Publisher contact information may be obtai ..."
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Cited by 12 (0 self)
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prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. Please contact the publisher regarding any further use of this work. Publisher contact information may be obtained at
Cluster detection in laboratory auction data: a model-based approach Cluster Detection in Laboratory Auction Data: a model-based approach *
"... Abstract Risk Aversion has been proposed to explain overbidding in first-price auction experiments. Alternatively, most competing explanations to this phenomenon resort to bounded-rational behaviour. The presence of other anomalies in the data such as nonlinear bidding and/or wide dispersion deserv ..."
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Abstract Risk Aversion has been proposed to explain overbidding in first-price auction experiments. Alternatively, most competing explanations to this phenomenon resort to bounded-rational behaviour. The presence of other anomalies in the data such as nonlinear bidding and/or wide dispersion
Taming the computational complexity of combinatorial auctions: Optimal and approximate approaches
, 1999
"... In combinatorial auctions, multiple goods are sold simultaneously and bidders may bid for arbitrary combinations of goods. Determining the outcome of such an auction is an optimization problem that is NP-complete in the general case. We propose two methods of overcoming this apparent intractability. ..."
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Cited by 288 (9 self)
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, market-based approach. It sets up a virtual multi-round auction in which a virtual agent represents each original bid bundle and places bids, according to a fixed strategy, for each good in that bundle. We show through experiments on synthetic data that (a) our first method finds optimal allocations
Results 1 - 10
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