We consider the problem of online keyword advertising auctions among multiple bidders with limited budgets, and study a natural bidding heuristic in which advertisers attempt to o...
Christian Borgs, Jennifer T. Chayes, Nicole Immorl...
Using data collected between August 1999 and January 2000, we examine firm-level pricing strategies for 32 online bookstores. The data cover more than 300 books, including New Yor...
In the context of auctions for digital goods, an interesting Random Sampling Optimal Price auction (RSOP) has been proposed by Goldberg, Hartline and Wright; this leads to a truth...
We present approximation and online algorithms for a number of problems of pricing items for sale so as to maximize seller’s revenue in an unlimited supply setting. Our first r...
Existing reputation systems used by online auction houses do not address the concern of a buyer shopping for commodities—finding a good bargain. These systems do not provide in...
Shai Rubin, Mihai Christodorescu, Vinod Ganapathy,...