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Julia D Stoyanovich

from New York, NY
Age ~47

Julia Stoyanovich Phones & Addresses

  • 501 W 123Rd St APT 6D, New York, NY 10027
  • 441 W 56Th St APT 4B, New York, NY 10019 (212) 864-0355
  • 441 56Th St, New York, NY 10019
  • Northampton, MA
  • 6240 Woodhaven Blvd, Rego Park, NY 11374
  • Amherst, MA
  • Brooklyn, NY
  • Cliffside Park, NJ
  • 420 Central Park W APT 5J, New York, NY 10025

Resumes

Resumes

Julia Stoyanovich Photo 1

Assistant Professor

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Location:
3 Washington Square Vlg, New York, NY 10012
Industry:
Higher Education
Work:
New York University
Assistant Professor

Drexel University Sep 2012 - Aug 2018
Assistant Professor

University of Pennsylvania Nov 2011 - Sep 2012
Visiting Scholar

University of Pennsylvania Nov 2009 - Oct 2011
Postdoctoral Researcher

Columbia University In the City of New York 2003 - 2009
Graduate Research Assistant
Education:
Columbia University In the City of New York 2004 - 2009
Doctorates, Doctor of Philosophy, Computer Science
Columbia University 2009
Doctorates, Doctor of Philosophy
Columbia University In the City of New York 2003 - 2004
Master of Science, Masters, Computer Science
University of Massachusetts Amherst 1995 - 1998
Bachelors, Bachelor of Science, Computer Science, Statistics
Belmont High School 1995
Skills:
Computer Science
Data Management
Languages:
English
Russian
Serbian
German
Italian
Julia Stoyanovich Photo 2

New York

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Location:
New York, NY
Work:

New York

Publications

Us Patents

Social Behavior Analysis And Inferring Social Networks For A Recommendation System

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US Patent:
8073794, Dec 6, 2011
Filed:
Dec 20, 2007
Appl. No.:
11/961555
Inventors:
Sihem Amer-Yahia - New York NY, US
Evgeniy Gabrilovich - Sunnyvale CA, US
Bo Pang - Sunnyvale CA, US
Julia Stoyanovich - New York NY, US
Cong Yu - New York NY, US
Assignee:
YAHOO! Inc. - Sunnyvale CA
International Classification:
G06F 17/00
G06N 5/00
US Classification:
706 45
Abstract:
Systems and methods are provided for determining items or people of potential interest to recommend to users in a computer-based network. Implied social networks may be determined based at least in part on obtained social behavior information. Items or people of potential interest to users may be determined based at least in part on implied social network information. Vocabulary taxonomies may be associated with, or used in determining, implied social networks.

Automatically And Adaptively Determining Execution Plans For Queries With Parameter Markers

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US Patent:
20080195577, Aug 14, 2008
Filed:
Feb 9, 2007
Appl. No.:
11/673091
Inventors:
Wei Fan - New York NY, US
Guy Maring Lohman - San Jose CA, US
Volker Gerhard Markl - San Jose CA, US
Nimrod Megiddo - Palo Alto CA, US
Jun Rao - San Jose CA, US
David Everett Simmen - San Jose CA, US
Julia Stoyanovich - New York NY, US
International Classification:
G06F 17/30
US Classification:
707 2, 707E17017
Abstract:
A method for automatically and adaptively determining query execution plans for parametric queries. A first classifier trained by an initial set of training points is generated using a set of random decision trees (RDTs). A query workload and/or database statistics are dynamically updated. A new set of training points collected off-line is used to modify the first classifier into a second classifier. A database query is received at a runtime subsequent to the off line phase. The query includes predicates having parameter markers bound to actual values. The predicates are associated with selectivities. The query execution plan is determined by identifying an optimal average of posterior probabilities obtained across a set of RDTs and mapping the selectivities to a plan. The determined query execution plan is included in an augmented set of training points that includes the initial set and the new set.

Automatically And Adaptively Determining Execution Plans For Queries With Parameter Markers

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US Patent:
20080222093, Sep 11, 2008
Filed:
May 22, 2008
Appl. No.:
12/125221
Inventors:
Wei Fan - New York NY, US
Guy Maring Lohman - San Jose CA, US
Volker Gerhard Markl - San Jose CA, US
Nimrod Megiddo - Palo Alto CA, US
Jun Rao - Palo Alto CA, US
David Everett Simmen - San Jose CA, US
Julia Stoyanovich - New York NY, US
International Classification:
G06F 17/30
US Classification:
707 2, 707E17131
Abstract:
A method and system for automatically and adaptively determining query execution plans for parametric queries. A first classifier trained by an initial set of training points is generated. A query workload and/or database statistics are dynamically updated. A new set of training points is collected off-line. Using the new set of training points, the first classifier is modified into a second classifier. A database query is received at a runtime subsequent to the off-line phase. The query includes predicates having parameter markers bound to actual values. The predicates are associated with selectivities. A mapping of the selectivities into a plan determines the query execution plan. The determined query execution plan is included in an augmented set of training points, where the augmented set includes the initial set and the new set.
Julia D Stoyanovich from New York, NY, age ~47 Get Report