Patents by Inventor Vladislav Isenbaev

Vladislav Isenbaev has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Runtime expansion of targeting criteria based on user characteristics
    Patent number: 10509816
    Abstract: A social networking system selects advertisements for a user based on user characteristics of the user in response to a request to present an advertisement to the user. To increase the number of advertisements eligible for presentation to the user, the social networking system associates the user with one or more cluster groups associated with targeting criteria that are not satisfied by the user's characteristics. To determine whether to associate a user with a cluster group, the social networking system determines a cluster score for the cluster group based on the user's characteristics. If the cluster score equals or exceeds a cluster cutoff score for the cluster group, the user is associated with the cluster group. The cluster cutoff score may be determined based on an estimated distribution of users so that a target number or percentage of users have cluster scores less than the cluster cutoff score.
    Type: Grant
    Filed: May 29, 2014
    Date of Patent: December 17, 2019
    Assignee: Facebook, Inc.
    Inventors: Sue Ann Hong, Gang Wu, Rituraj Kirti, Vladislav Isenbaev, Boris Pierre Arnoux
  • RUNTIME EXPANSION OF TARGETING CRITERIA BASED ON USER CHARACTERISTICS
    Publication number: 20150332336
    Abstract: A social networking system selects advertisements for a user based on user characteristics of the user in response to a request to present an advertisement to the user. To increase the number of advertisements eligible for presentation to the user, the social networking system associates the user with one or more cluster groups associated with targeting criteria that are not satisfied by the user's characteristics. To determine whether to associate a user with a cluster group, the social networking system determines a cluster score for the cluster group based on the user's characteristics. If the cluster score equals or exceeds a cluster cutoff score for the cluster group, the user is associated with the cluster group. The cluster cutoff score may be determined based on an estimated distribution of users so that a target number or percentage of users have cluster scores less than the cluster cutoff score.
    Type: Application
    Filed: May 29, 2014
    Publication date: November 19, 2015
    Applicant: Facebook, Inc.
    Inventors: Sue Ann Hong, Gang Wu, Rituraj Kirti, Vladislav Isenbaev, Boris Pierre Arnoux