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Image relevance model

  • US 9,176,988 B2
  • Filed: 08/14/2013
  • Issued: 11/03/2015
  • Est. Priority Date: 07/17/2009
  • Status: Active Grant
First Claim
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1. A computer-implemented method, comprising:

  • identifying, as positive images, a first set of images that are considered relevant to a first query based, at least in part, on a first selection rate for images in the first set when presented as search results for the first query;

    identifying, as negative images, a second set of images that differ from the first set of images and that are considered relevant to a different query based, at least in part, on a second selection rate for images in the second set when presented as search results for the different query;

    training an image relevance model for the first query based on feature values of the positive images and feature values of the negative images;

    generating a score for each of a plurality of images based on feature values of the plurality of images and the image relevance model;

    receiving a search query;

    identifying, from the plurality of images, one or more highest scoring images based on the score for each of one or more of the plurality of images; and

    providing at least a portion of the one or more highest scoring images as results for the search query.

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