Patents by Inventor James RICKS

James RICKS 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).

  • Publication number: 20240420229
    Abstract: A system may identify, using a machine learning model, a series of recurring events associated with an account and may generate, using the machine learning model, a prediction of a future date on which a predicted event, associated with the series of recurring events, is to occur. The system may determine that a condition associated with the account is satisfied and may determine that a current date is within a threshold number of days of the future date based on the prediction of the future date. The system may transmit, to a user device, a notification based on determining that the current date is within the threshold number of days of the future date and that the condition associated with the account is satisfied, wherein the notification includes information for presentation of an input element that enables an action to be performed in connection with the account.
    Type: Application
    Filed: August 28, 2024
    Publication date: December 19, 2024
    Inventors: Stephen JORDAN, Brad GISKA, Marisa LEE, Erik VIRBITSKY, Sean EASTER, James RICKS
  • Patent number: 12112369
    Abstract: A system may identify, using a machine learning model, a series of recurring events associated with an account and may generate, using the machine learning model, a prediction of a future date on which a predicted event, associated with the series of recurring events, is to occur. The system may determine that a condition associated with the account is satisfied and may determine that a current date is within a threshold number of days of the future date based on the prediction of the future date. The system may transmit, to a user device, a notification based on determining that the current date is within the threshold number of days of the future date and that the condition associated with the account is satisfied, wherein the notification includes information for presentation of an input element that enables an action to be performed in connection with the account.
    Type: Grant
    Filed: May 17, 2021
    Date of Patent: October 8, 2024
    Assignee: Capital One Services, LLC
    Inventors: Stephen Jordan, Brad Giska, Marisa Lee, Erik Virbitsky, Sean Easter, James Ricks
  • Publication number: 20220366488
    Abstract: A system may identify, using a machine learning model, a series of recurring events associated with an account and may generate, using the machine learning model, a prediction of a future date on which a predicted event, associated with the series of recurring events, is to occur. The system may determine that a condition associated with the account is satisfied and may determine that a current date is within a threshold number of days of the future date based on the prediction of the future date. The system may transmit, to a user device, a notification based on determining that the current date is within the threshold number of days of the future date and that the condition associated with the account is satisfied, wherein the notification includes information for presentation of an input element that enables an action to be performed in connection with the account.
    Type: Application
    Filed: May 17, 2021
    Publication date: November 17, 2022
    Inventors: Stephen JORDAN, Brad GISKA, Marisa LEE, Erik VIRBITSKY, Sean EASTER, James RICKS
  • Publication number: 20210279577
    Abstract: Technology is described for generating tests to execute against a process. The method can include identifying a data store of input operation requests for the process, and the input operation requests are recorded for requests received to operate functionality of the process. Another operation can be training a deep neural network model using the input operation requests to enable the deep neural network model to generate output series based in part on the input operation requests. Test series can be generated using the deep neural network model. The test series are executable to activate functionality of the process in order to test portions of the process. A further operation may be executing the test series on the process in order to test functionality of the process.
    Type: Application
    Filed: March 4, 2021
    Publication date: September 9, 2021
    Inventors: Peter Gardiner West, Daniel Moroni Hair, Jeffrey Douglas Handy, Michael Ray Kimball, Daniel James Ricks