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Auto tagging in geo-social networking system

  • US 10,176,199 B2
  • Filed: 12/18/2015
  • Issued: 01/08/2019
  • Est. Priority Date: 09/24/2010
  • Status: Active Grant
First Claim
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1. A method comprising:

  • by a computing device associated with a social-networking system, accessing a social-networking information item and a media file associated with a first user, wherein attributes of the social-networking information item comprise a list identifying one or more second users associated with the social-networking information item and a relationship between each of the one or more second users and the first user;

    by the computing device, determining based on a facial-recognition algorithm a matching score of each of one or more of the second users to each of one or more faces in the media file;

    by the computing device, for each of the second users with a matching score above a threshold value to a face in the media file;

    comparing first spatio-temporal information of the media file with second spatio-temporal information of the second user, the second spatio-temporal information being determined based at least in part on one or more attributes of an event that the second user is registered as attending, wherein;

    the event is created and configured by a user using an application supported by the social-networking system;

    the event is stored in an event database associated with the social-networking system; and

    the attributes of the event comprise a time and date of the event and a location of the event specified by the user; and

    adjusting the matching score of the second user to the face based on the comparison and the relationship between the second user and the first user;

    by the computing device, determining one or more potential matches between the second users and the faces in the media file based on the adjusted matching scores; and

    by the computing device, tagging the media file with information identifying the social-networking information item based on one or more of the potential matches between the second users and the faces in the media file.

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