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From SIAM News, Volume 38, Number 3, April[removed]Computer Scientists Optimize Innovative Ad Auction By Sara Robinson As one of the few Internet companies to make a mathematical idea pay off, Google has long been a darlin
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Document Date: 2005-08-19 19:28:47


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City

Los Angeles / /

Company

Google / Yahoo / primal LP / /

Currency

USD / /

Event

M&A / /

Facility

Georgia Institute of Technology / University of California / /

IndustryTerm

search sites / online and b-matching algorithms / search market / Internet / real time / deterministic matchmaker algorithm / auction advertising model / online matching paper / online bipartite matching problem / Internet advertising market / online matching problem / approximation algorithms / deterministic algorithms / search keywords / online matching / Web Search Algorithms / search rankings / Internet start-up / company advertising budgets / ad-ranking algorithm / randomized algorithm / search engines / near-optimal approximate solutions / approximate solution / high-tech frenzy / deterministic algorithm / search queries / mathematical tool / online algorithms / obscure search terms / search results / clever search algorithm / /

Organization

Ecole Polytechnique Fédérale de Lausanne / University of California / Berkeley / Georgia Institute of Technology / Stanford / /

Person

Bala Kalyanasundaram / Vijay Vazirani / Richard Karp / Monika Henzinger / Umesh Vazirani / Amin Saberi / Kirk Pruhs / Aranyak Mehta / Sara Robinson / Sara Robinson As one / /

Position

thesis adviser / freelance writer / director of research / wedding planner / /

ProvinceOrState

California / /

Technology

ad-ranking algorithm / randomized algorithm / clever search algorithm / alternative randomized algorithm / pdf / two algorithms / resulting algorithm / deterministic matchmaker algorithm / Pruhs algorithm / deterministic algorithm / approximation algorithms / online and b-matching algorithms / ranking algorithm / matchmaking algorithm / /

URL

http /

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