Chad Steven Oftedal

age ~55

from Woodinville, WA

Also known as:
  • Chad S Oftedal
  • Chad E Oftedal
  • Chad S Ofedal
  • Chad Qfedal
Phone and address:
17008 166Th Pl NE, Woodinville, WA 98072
4252838284

Chad Oftedal Phones & Addresses

  • 17008 166Th Pl NE, Woodinville, WA 98072 • 4252838284
  • 7309 134Th St, Redmond, WA 98052 • 4258820274
  • 7309 134Th Ave NE, Redmond, WA 98052 • 4258820274
  • Bellevue, WA
  • Pullman, WA
  • Moscow, ID
  • Kiona, WA
  • 7309 134Th Ave NE, Redmond, WA 98052 • 4257855964

Us Patents

  • Method And Apparatus For Adapting A Search Classifier Based On User Queries

    view source
  • US Patent:
    20040111419, Jun 10, 2004
  • Filed:
    Dec 5, 2002
  • Appl. No.:
    10/310408
  • Inventors:
    Daniel Cook - Seattle WA, US
    Chad Oftedal - Redmond WA, US
    Scott Seiber - Medina WA, US
    Matthew Goldberg - Bellevue WA, US
  • International Classification:
    G06F017/00
  • US Classification:
    707/100000
  • Abstract:
    A method and computer-readable medium are provided for constructing a classifier for classifying search queries. The classifier is constructed by receiving a query from a user and applying the query to a classifier to identify the task. An unsupervised mapping between the query and the task is then identified and is used to train a new classifier. Under one embodiment, the unsupervised mapping is identified based on a user's selection of the task.
  • Adapting A Search Classifier Based On User Queries

    view source
  • US Patent:
    20070276818, Nov 29, 2007
  • Filed:
    Jul 30, 2007
  • Appl. No.:
    11/830375
  • Inventors:
    Daniel Cook - Seattle WA, US
    Chad Oftedal - Redmond WA, US
    Scott Seiber - Medina WA, US
    Matthew Goldberg - Bellevue WA, US
  • Assignee:
    Microsoft Corporation - Redmond WA
  • International Classification:
    G06F 17/30
  • US Classification:
    707003000
  • Abstract:
    Multiple different user queries are applied to an automated classifier to identify multiple tasks. For each query, a task is provided to a user. A task selected by the user is logged and a mapping between each query and each selected task is generated. Fewer than all of the mappings are used to train a new classifier, wherein selecting fewer than all of the mappings to train the new classifier comprises selecting mappings based on when the mappings were generated. The new classifier is stored on a computer-readable storage medium.

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