Patents by Inventor Vaqar Khamisani

Vaqar Khamisani 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).

  • Systems and methods for scoring user reactions to a software program
    Patent number: 11682029
    Abstract: Systems, methods, and computer-readable media for scoring an individual interaction session between a user and a software program are disclosed. A method includes recording, by a processing device, one or more actions undertaken by the user with the software program to obtain recorded session data, determining, by the processing device in real-time, one or more metrics that correspond to at least one of the one or more actions undertaken by the user with the software program, measuring, by the processing device, the one or more actions undertaken by the user based on the one or more metrics to obtain metric data, and providing, by the processing device, the recorded session data and the metric data as an input for one or more of a machine learning algorithm and a predictive analytic algorithm. The one or more of the machine learning algorithm and the predictive analytic algorithm scores the individual interaction session.
    Type: Grant
    Filed: March 23, 2018
    Date of Patent: June 20, 2023
    Assignee: LexisNexis, a division of Reed Elsevier Inc.
    Inventors: Sanjay Sharma, Vaqar Khamisani, Michael Sluterbeck, Gabriel Hughes, Ray Daley, Jamie Buckley
  • SYSTEMS AND METHODS FOR SCORING USER REACTIONS TO A SOFTWARE PROGRAM
    Publication number: 20190295105
    Abstract: Systems, methods, and computer-readable media for scoring an individual interaction session between a user and a software program are disclosed. A method includes recording, by a processing device, one or more actions undertaken by the user with the software program to obtain recorded session data, determining, by the processing device in real-time, one or more metrics that correspond to at least one of the one or more actions undertaken by the user with the software program, measuring, by the processing device, the one or more actions undertaken by the user based on the one or more metrics to obtain metric data, and providing, by the processing device, the recorded session data and the metric data as an input for one or more of a machine learning algorithm and a predictive analytic algorithm. The one or more of the machine learning algorithm and the predictive analytic algorithm scores the individual interaction session.
    Type: Application
    Filed: March 23, 2018
    Publication date: September 26, 2019
    Inventors: Sanjay Sharma, Vaqar Khamisani, Michael Sluterbeck, Gabriel Hughes, Ray Daley, Jamie Buckley