Invention Grant
US08572011B1 Outcome estimation models trained using regression and ranking techniques 有权
使用回归和排名技术训练结果估计模型

  • Patent Title: Outcome estimation models trained using regression and ranking techniques
  • Patent Title (中): 使用回归和排名技术训练结果估计模型
  • Application No.: US12837890
    Application Date: 2010-07-16
  • Publication No.: US08572011B1
    Publication Date: 2013-10-29
  • Inventor: David W. Sculley, II
  • Applicant: David W. Sculley, II
  • Applicant Address: US CA Mountain View
  • Assignee: Google Inc.
  • Current Assignee: Google Inc.
  • Current Assignee Address: US CA Mountain View
  • Agency: Leason Ellis LLP
  • Main IPC: G06N3/00
  • IPC: G06N3/00
Outcome estimation models trained using regression and ranking techniques
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for outcome estimation and content item selection. In one aspect, a method includes training an outcome estimation model using both regression prediction quality measures and ranking prediction quality measures. In response to receiving a request for one or more content items; a predicted outcome is computed for each content item in a set of content items, each respective outcome being computed using the outcome estimation model and feature values associated with each respective the content item. Selection scores are computed for the content items using the predicted outcome. In turn, one or more content items are selected for presentation based on the selection scores; and data are provided that cause presentation of the one or more content items at a client device.
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