Speaker: Ian Kash, Microsoft Research Cambridge
Title: Ranking and Optimal Tradeoffs in Ad Auctions
In sponsored search auctions, decisions about how to rank ads impose tradeoffs between objectives such as revenue and welfare. In this talk, I'll discuss how these tradeoffs should be made, beginning with a new ranking algorithm based on the revenue-optimal auction that uses a reserve price to change the way ads are ranked, not merely as a minimum bid. From there, I'll discuss the optimal way to make such tradeoffs in general and evaluate it using numerical simulations and Bing data. Finally, I'll discuss the issues that arise when we move to richer auction environments. Based on joint work with Yoram Bachrach, Sofia Ceppi, Peter Key, David Kurokawa, and Ben Roberts.
Ian Kash is a researcher in the Networks, Economics, and Algorithms group at Microsoft Research in Cambridge, UK. Previously he was a postdoctoral research fellow at the Center for Research on Computation and Society at Harvard University advised by David Parkes. He received my Ph.D. from Cornell University, where he was advised by Eric Friedman and Joe Halpern.