Patents by Inventor Benjamin C. Steele

Benjamin C. Steele 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).

  • Machine learning modeling using social graph signals
    Patent number: 11966853
    Abstract: Systems and methods are provided for receiving a request for lookalike data, the request for lookalike data comprising seed data and generating sample data from the seed data and from user data for a plurality of users, to use in a lookalike model training. The systems and methods further provide for capturing a snapshot of social graph data for a plurality of users and computing social graph features based on the seed data and the user data for the plurality of users, training a lookalike model based on the sample data and the computed social graph features to generate a trained lookalike model, generating a lookalike score for each user of the plurality of users in the user data using the trained lookalike model, and generating a list comprising a unique identifier for each user of the plurality of users and an associated lookalike score for each unique identifier.
    Type: Grant
    Filed: April 8, 2021
    Date of Patent: April 23, 2024
    Assignee: Snap Inc.
    Inventors: John Cain Blackwood, Jason Brewer, Nima Khajehnouri, Hadi Minooei, Benjamin C. Steele, Qian You
  • MACHINE LEARNING MODELING USING SOCIAL GRAPH SIGNALS
    Publication number: 20210224661
    Abstract: Systems and methods are provided for receiving a request for lookalike data, the request for lookalike data comprising seed data and generating sample data from the seed data and from user data for a plurality of users, to use in a lookalike model training. The systems and methods further provide for capturing a snapshot of social graph data for a plurality of users and computing social graph features based on the seed data and the user data for the plurality of users, training a lookalike model based on the sample data and the computed social graph features to generate a trained lookalike model, generating a lookalike score for each user of the plurality of users in the user data using the trained lookalike model, and generating a list comprising a unique identifier for each user of the plurality of users and an associated lookalike score for each unique identifier.
    Type: Application
    Filed: April 8, 2021
    Publication date: July 22, 2021
    Inventors: John Cain Blackwood, Jason Brewer, Nima Khajehnouri, Hadi Minooei, Benjamin C. Steele, Qian You
  • Machine learning modeling using social graph signals
    Patent number: 11003997
    Abstract: Systems and methods are provided for receiving a request for lookalike data, the request for lookalike data comprising seed data and generating sample data from the seed data and from user data for a plurality of users, to use in a lookalike model training. The systems and methods further provide for capturing a snapshot of social graph data for a plurality of users and computing social graph features based on the seed data and the user data for the plurality of users, training a lookalike model based on the sample data and the computed social graph features to generate a trained lookalike model, generating a lookalike score for each user of the plurality of users in the user data using the trained lookalike model, and generating a list comprising a unique identifier for each user of the plurality of users and an associated lookalike score for each unique identifier.
    Type: Grant
    Filed: October 4, 2017
    Date of Patent: May 11, 2021
    Assignee: Snap Inc.
    Inventors: John Cain Blackwood, Jason Brewer, Nima Khajehnouri, Hadi Minooei, Benjamin C. Steele, Qian You