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Training scoring models optimized for highly-ranked results

机译:训练评分模型经过优化,可为排名靠前的结果

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.
机译:用于训练评分模型的方法,系统和装置,包括在计算机存储介质上编码的计算机程序。一种方法包括存储识别用于查询的多个正训练图像和多个负训练图像的数据。该方法还包括从正图像组或负图像组中选择第一图像,并将评分模型应用于第一图像。该方法还包括:从另一组图像中选择多个候选图像;将评分模型应用于每个候选图像;然后根据图像的分数从候选图像中选择第二图像。该方法还包括确定第一图像和第二图像的得分不满足标准,更新得分模型,以及存储更新的得分模型。

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