Patents by Inventor Elizabeth MAUE

Elizabeth MAUE 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).

  • PERFORMING AN ACTION BASED ON USER INTERACTION DATA
    Publication number: 20210117055
    Abstract: A device obtains historical interaction data concerning a plurality of user interactions, where a user interaction of the plurality of user interactions includes one or more touchpoint sets, obtains historical response data concerning a plurality of user responses, where a user response of the plurality of user responses corresponds to a user interaction, and processes the historical interaction data and the historical response data using a modelling pipeline to determine an association between user interaction score and a touchpoint set. The device determines information concerning a current user interaction, processes the information concerning the current user interaction using the modelling pipeline to determine a current user interaction score and ranking of one or more touchpoint sets of the current user interaction, and causes, based on the current user interaction score and the ranking of the one or more touchpoint sets, at least one action to be performed.
    Type: Application
    Filed: December 28, 2020
    Publication date: April 22, 2021
    Inventors: Rohit SARIN, Ryan TOMLINSON, Elizabeth MAUE, Alex BAIRD, Jose MARTINEZ, Chengjun ZHU, Weiyan SUN, Robert CEZEAUX
  • Performing an action based on user interaction data
    Patent number: 10877632
    Abstract: A device obtains historical interaction data concerning a plurality of user interactions, where a user interaction of the plurality of user interactions includes one or more touchpoint sets, obtains historical response data concerning a plurality of user responses, where a user response of the plurality of user responses corresponds to a user interaction, and processes the historical interaction data and the historical response data using a modelling pipeline to determine an association between user interaction score and a touchpoint set. The device determines information concerning a current user interaction, processes the information concerning the current user interaction using the modelling pipeline to determine a current user interaction score and ranking of one or more touchpoint sets of the current user interaction, and causes, based on the current user interaction score and the ranking of the one or more touchpoint sets, at least one action to be performed.
    Type: Grant
    Filed: February 25, 2019
    Date of Patent: December 29, 2020
    Assignee: Capital One Services, LLC
    Inventors: Rohit Sarin, Ryan Tomlinson, Elizabeth Maue, Alex Baird, Jose Martinez, Chengjun Zhu, Weiyan Sun, Robert Cezeaux
  • PERFORMING AN ACTION BASED ON USER INTERACTION DATA
    Publication number: 20200272283
    Abstract: A device obtains historical interaction data concerning a plurality of user interactions, where a user interaction of the plurality of user interactions includes one or more touchpoint sets, obtains historical response data concerning a plurality of user responses, where a user response of the plurality of user responses corresponds to a user interaction, and processes the historical interaction data and the historical response data using a modelling pipeline to determine an association between user interaction score and a touchpoint set. The device determines information concerning a current user interaction, processes the information concerning the current user interaction using the modelling pipeline to determine a current user interaction score and ranking of one or more touchpoint sets of the current user interaction, and causes, based on the current user interaction score and the ranking of the one or more touchpoint sets , at least one action to be performed.
    Type: Application
    Filed: February 25, 2019
    Publication date: August 27, 2020
    Inventors: Rohit SARIN, Ryan TOMLINSON, Elizabeth MAUE, Alex BAIRD, Jose MARTINEZ, Chengjun ZHU, Weiyan SUN, Robert CEZEAUX