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Eric P Crestan

from Union City, CA
Age ~49
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Related to:
Andrea Crestan, 47
Connected to:
Mary L Crestani, 53Mauro Crestani, 69Vickie R Crestani, 69Paola G Cresti, 54Michael Crestik, 34Lynne C Crestin, 64Mike P Cresto, 76Lea Crestodina, 70John T Crestwell, 55Allison W Creswell, 62

Eric Crestan Phones & Addresses

  • 4709 Cabello St, Union City, CA 94587 (510) 477-9855
  • 1343 Maria Way, San Jose, CA 95117 (408) 370-9551
  • 745 Millvale Ave, Pittsburgh, PA 15213 (412) 687-3735
  • Sunnyvale, CA
  • Santa Clara, CA

Work

Company: Yahoo! labs Jul 2007 Position: Sr. scientist

Skills

Natural Language Processing • Text Mining • Machine Learning • Linguistic Resources • MapReduce

Industries

Information Technology and Services

Resumes

Resumes

Eric Crestan Photo 1

Eric Crestan

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Position:
Sr. Scientist at Yahoo! Labs
Location:
San Francisco Bay Area
Industry:
Information Technology and Services
Work:
Yahoo! Labs since Jul 2007
Sr. Scientist
Skills:
Natural Language Processing
Text Mining
Machine Learning
Linguistic Resources
MapReduce

Publications

Us Patents

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US Patent:
20120066195, Mar 15, 2012
Filed:
Sep 15, 2010
Appl. No.:
12/882974
Inventors:
Eric Crestan - Union City CA, US
Jiefeng Shen - Sammamish WA, US
Richard Allan Kasperski - Creston, CA
Su-Lin Wu - San Carlos CA, US
Omer Emre Velipasaoglu - San Francisco CA, US
Benoit Dumoulin - Palo Alto CA, US
Assignee:
YAHOO! INC. - Sunnyvale CA
International Classification:
G06F 17/30
US Classification:
707706, 707748, 707767, 707E17108, 707E17071
Abstract:
One embodiment selects from a set of query-suggestion pairs a first query and a subset of query-suggestion pairs that each has the first query as its query; computes a Log Likelihood Ratio (LLR) value for each query-suggestion pair from the subset of query-suggestion pairs; ranks the subset of query-suggestion pairs according to their respective LLR values; removes from the subset of query-suggestion pairs all query-suggestion pairs whose LLR values are below a predetermined LLR threshold; computes a Pointwise Mutual Information (PMI) value for each remaining query suggestion pair from the subset of query-suggestion pairs; removes from the subset of query-suggestion pairs all query-suggestion pairs whose PMI values are below a predetermine PMI threshold; and constructs a ranked set of suggestions for the first query, wherein the ranked set of suggestions comprises one or more suggestions of the remaining query-suggestion pairs from the subset of query-suggestion pairs.
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Eric P Crestan from Union City, CA, age ~49 Get Report