Invention Grant
- Patent Title: Training scoring models optimized for highly-ranked results
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Application No.: US13616108Application Date: 2012-09-14
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Publication No.: US08589457B1Publication Date: 2013-11-19
- Inventor: Samy Bengio , Gal Chechik , Sergey Ioffe , Jay Yagnik
- Applicant: Samy Bengio , Gal Chechik , Sergey Ioffe , Jay Yagnik
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06F17/00
- IPC: G06F17/00

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training scoring models. One method includes storing data identifying a plurality of positive and a plurality of negative training images for a query. The method further includes selecting a first image from either the positive group of images or the negative group of images, and applying a scoring model to the first image. The method further includes selecting a plurality of candidate images from the other group of images, applying the scoring model to each of the candidate images, and then selecting a second image from the candidate images according to scores for the images. The method further includes determining that the scores for the first image and the second image fail to satisfy a criterion, updating the scoring model, and storing the updated scoring model.
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