Patents by Inventor Jeremy Tryba

Jeremy Tryba 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).

  • DETERMINING TARGETING INFORMATION BASED ON A PREDICTIVE TARGETING MODEL
    Publication number: 20230316333
    Abstract: A targeting system based on a predictive targeting model based on observed behavioral data including visit data, user profile and/or survey data, and geographic features associated with a geographic region. The predictive targeting model analyzes the observed behavioral data and the geographic features data to predict conversion rates for every cell in a square grid of predefined size on the geographic region. The conversion rate of a cell indicates a likelihood that any random user in that cell will perform a targeted behavior.
    Type: Application
    Filed: April 7, 2023
    Publication date: October 5, 2023
    Inventors: David Shim, Elliott Waldron, Weilie Yi, Michael Grebeck, Siddharth Rajaram, Jeremy Tryba, Nick Gerner, Andrea Eatherly
  • Determining targeting information based on a predictive targeting model
    Patent number: 11625755
    Abstract: A targeting system based on a predictive targeting model based on observed behavioral data including visit data, user profile and/or survey data, and geographic features associated with a geographic region. The predictive targeting model analyzes the observed behavioral data and the geographic features data to predict conversion rates for every cell in a square grid of predefined size on the geographic region. The conversion rate of a cell indicates a likelihood that any random user in that cell will perform a targeted behavior.
    Type: Grant
    Filed: August 19, 2019
    Date of Patent: April 11, 2023
    Assignee: FOURSQUARE LABS, INC.
    Inventors: David Shim, Elliott Waldron, Weilie Yi, Michael Grebeck, Siddharth Rajaram, Jeremy Tryba, Nick Gerner, Andrea Eatherly
  • Determining targeting information based on a predictive targeting model
    Patent number: 10423983
    Abstract: A targeting system based on a predictive targeting model based on observed behavioral data including visit data, user profile and/or survey data, and geographic features associated with a geographic region. The predictive targeting model analyzes the observed behavioral data and the geographic features data to predict conversion rates for every cell in a square grid of predefined size on the geographic region. The conversion rate of a cell indicates a likelihood that any random user in that cell will perform a targeted behavior.
    Type: Grant
    Filed: September 16, 2014
    Date of Patent: September 24, 2019
    Assignee: Snap Inc.
    Inventors: David Shim, Elliott Waldron, Weilie Yi, Michael Grebeck, Siddharth Rajaram, Jeremy Tryba, Nick Gerner, Andrea Eatherly
  • DETERMINING TARGETING INFORMATION BASED ON A PREDICTIVE TARGETING MODEL
    Publication number: 20160078485
    Abstract: A targeting system based on a predictive targeting model based on observed behavioral data including visit data, user profile and/or survey data, and geographic features associated with a geographic region. The predictive targeting model analyzes the observed behavioral data and the geographic features data to predict conversion rates for every cell in a square grid of predefined size on the geographic region. The conversion rate of a cell indicates a likelihood that any random user in that cell will perform a targeted behavior.
    Type: Application
    Filed: September 16, 2014
    Publication date: March 17, 2016
    Inventors: David Shim, Elliott Waldron, Weilie Yi, Michael Grebeck, Siddharth Rajaram, Jeremy Tryba, Nick Gerner, Andrea Eatherly