UMBC ebiquity research group Building intelligent systems in open, heterogeneous, dynamic, distributed environments
16 May 2008, 22:32:40 EDT  
Making Google Richer: Optimal Algorithms for the AdWords Auction

Title: Making Google Richer: Optimal Algorithms for the AdWords Auction

Speaker: Samuel Lomonaco

Start Date: Friday, March 03, 2006, 01:00PM

End Date: Friday, March 03, 2006, 02:00PM

Location: 325b ITE

Abstract: Google's phenomenal success may be ascribed as much to a revolution in advertising as to its superior search results. The key to this online advertising model is an innovative auction run by the search engine companies. Advertisers' bids for search keywords determine which ads are displayed during internet searches. There are a number of algorithmic and game theoretic issues that arise in this context. In particular, the problem of maximizing revenue in such keyword auctions can be formulated as an on-line computational problem. I will describe a simple on-line algorithm that achieves optimal performance for this problem. The proof of performance of this algorithm relies on a new linear programming based technique called tradeoff revealing family of LPs, which I will briefly touch upon.

The talk is based on joint work with Aranyak Mehta, Amin Saberi and Vijay Vazirani.

Tags: web, auction, search, google, advertising

Host: Umesh Vazirani

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