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Yury Makarychev

from Chicago, IL
Age ~44
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Also known as:
Yury V
Phone and address:
2663 N Ashland Ave APT 3N, Chicago, IL 60614
Related to:
Konstantin Makarychev, 44
Connected to:
Eric Makary, 47Faddy A Makaryus, 44Karolina Makasebi, 46Sonny N Makasini, 60Leon J Makasjian, 52Minoo Makassebi, 58Ernest Makata, 48Eric Makatics, 41Dale S Makatura, 70Julie A Makatura, 56

Yury Makarychev Phones & Addresses

  • 2663 N Ashland Ave APT 3N, Chicago, IL 60614
  • Cambridge, MA
  • White Plains, NY
  • Kirkland, WA
  • 10 Lawrence Dr, Princeton, NJ 08540 (609) 683-8327
  • Seattle, WA
  • Princeton Junction, NJ

Work

Company: University of chicago Sep 2009 Position: Associate professor

Education

Degree: Doctorates, Doctor of Philosophy School / High School: Princeton University 2003 to 2007 Specialities: Computer Science, Philosophy

Skills

Optimization • Algorithms • Theoretical Computer Science • Machine Learning • Programming • C++ • Matlab • Python

Languages

English • Russian

Industries

Higher Education

Resumes

Resumes

Yury Makarychev Photo 1

Professor

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Location:
Chicago, IL
Industry:
Higher Education
Work:
University of Chicago
Associate Professor
Toyota Technological Institute at Chicago (Ttic)
Professor
Microsoft Jul 2007 - Jun 2009
Postdoctoral Researcher at Msr
Oracle Jan 2002 - Aug 2003
Software Developer
Education:
Princeton University 2003 - 2007
Doctorates, Doctor of Philosophy, Computer Science, Philosophy Lomonosov Moscow State University (Msu) 1996 - 2001
Master of Science, Masters, Mathematics
Skills:
Optimization
Algorithms
Theoretical Computer Science
Machine Learning
Programming
C++
Matlab
Python
Languages:
English
Russian

Publications

Us Patents

Predicting Web Advertisement Click Success By Using Head-To-Head Ratings

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US Patent:
20100198685, Aug 5, 2010
Filed:
Jan 30, 2009
Appl. No.:
12/362492
Inventors:
Mohsen Bayati - Salem MA, US
Mark Braverman - Boston MA, US
Satyen Chandrakant Kale - Cambridge MA, US
Yury Makarychev - Cambridge MA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06Q 30/00
G06F 7/06
G06F 17/30
US Classification:
705 1452, 707E17014
Abstract:
Described is a paid search advertising technology in which ratings values are computed for advertisements (or other web content items) based upon head-to-head evaluations as to which advertisement or advertisements were selected (clicked) from among a set of advertisements that were shown together. Records of a query log contain data of advertisements that were shown together, and each advertisement of those shown together that was clicked. Pairs of advertisements are selected, with the rating value of an advertisement that was clicked increased, and the rating value of the non-clicked advertisement decreased. Only those pairs in which one advertisement was selected and another was not selected may be used as a pair. Elo ratings formulas may be employed for the increasing and decreasing computations. The rating values may be combined with other prediction results into a combined result used to select and/or rank advertisements for returning with a query response.
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Yury Makarychev from Chicago, IL, age ~44 Get Report