- 专利标题: Training scoring models optimized for highly-ranked results
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申请号: US13342532申请日: 2012-01-03
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公开(公告)号: US08429212B1公开(公告)日: 2013-04-23
- 发明人: Samy Bengio , Gal Chechik , Sergey Ioffe , Jay Yagnik
- 申请人: Samy Bengio , Gal Chechik , Sergey Ioffe , Jay Yagnik
- 申请人地址: US CA Mountain View
- 专利权人: Google Inc.
- 当前专利权人: Google Inc.
- 当前专利权人地址: US CA Mountain View
- 代理机构: Fish & Richardson P.C.
- 主分类号: G06F17/00
- IPC分类号: G06F17/00
摘要:
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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