Revenue prediction in budget-constrained sequential auctions with complementarities ( Extended Abstract )

Abstract

When multiple items are auctioned sequentially, the ordering of auctions plays an important role in the total revenue collected by the auctioneer. When historical data are available, it is possible to learn a model in order to predict the outcome of a given sequence. In this work, we show how to construct such a model, and provide methods that finds a good… (More)

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