Patents by Inventor Caitlin Malone

Caitlin Malone 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).

  • System and process to create a lookalike model for a target audience to deliver advertisements
    Patent number: 12169849
    Abstract: A system and process to create a lookalike model for a target audience to deliver advertisements are disclosed. According to one embodiment, the method comprises selecting survey data from a survey database that relates to an advertisement. A heterogenous treatment effect (HETE) model is trained on the survey data. Persuadable customers are identified from the survey database for the advertisement based on the HETE model. An optimized customer list is generated using personally identifiable information.
    Type: Grant
    Filed: December 22, 2022
    Date of Patent: December 17, 2024
    Assignee: Civis Analytics, Inc.
    Inventors: David Shor, Stephen Hoover, Caitlin Malone, Michael Sadowsky, Zachary Krislov, Evan Sadler
  • SYSTEM AND PROCESS TO CREATE A LOOKALIKE MODEL FOR A TARGET AUDIENCE TO DELIVER ADVERTISEMENTS
    Publication number: 20230125114
    Abstract: A system and process to create a lookalike model for a target audience to deliver advertisements are disclosed. According to one embodiment, the method comprises selecting survey data from a survey database that relates to an advertisement. A heterogenous treatment effect (HETE) model is trained on the survey data. Persuadable customers are identified from the survey database for the advertisement based on the HETE model. An optimized customer list is generated using personally identifiable information.
    Type: Application
    Filed: December 22, 2022
    Publication date: April 27, 2023
    Inventors: David Shor, Stephen Hoover, Caitlin Malone, Michael Sadowsky, Zachary Krislov, Evan Sadler
  • METHOD FOR HIERARCHICAL CLUSTERING OVER LARGE DATA SETS USING MULTI-OUTPUT MODELING
    Publication number: 20230092580
    Abstract: A method for hierarchical clustering includes receiving a large set of data, training an algorithm to find patterns in the received data that most accurately predict the outcomes, and generating a multi-output model to maximize the cluster quality of a set of features. The data include at least two binary drivers and one binary need, the drivers predict the value of the need, and the data include at least two outcomes.
    Type: Application
    Filed: June 10, 2020
    Publication date: March 23, 2023
    Inventors: Elizabeth Sander, Jonathan Seabold, Caitlin Malone
  • System and process to create a lookalike model for a target audience to deliver advertisements
    Patent number: 11538061
    Abstract: A system and process to create a lookalike model for a target audience to deliver advertisements are disclosed. According to one embodiment, the method comprises selecting survey data from a survey database that relates to an advertisement. A heterogenous treatment effect (HETE) model is trained on the survey data. Persuadable customers are identified from the survey database for the advertisement based on the HETE model. An optimized customer list is generated using personally identifiable information.
    Type: Grant
    Filed: December 10, 2018
    Date of Patent: December 27, 2022
    Assignee: Civis Analytics, Inc.
    Inventors: David Shor, Stephen Hoover, Caitlin Malone, Michael Sadowsky, Zachary Krislov, Evan Sadler