Patents by Inventor Reshmi Naduparambil Sasidharan

Reshmi Naduparambil Sasidharan 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).

  • Characterizing and modifying user experience of computing environments based on behavior logs
    Patent number: 11551239
    Abstract: There is described a method and system in an interactive computing environment modified with user experience values based on behavior logs. An experience valuation system determines an experience value and an estimated experience value. The experience value is based on a current state of interaction data from a user session, based on a history of past events, and an estimation function defined by parameters to model the user experience values. The estimated experience value is determined based on, in addition to the current state and the estimation function, next states associated with the current state, and a reward function. The parameters of the estimation function are updated based on a comparison of the expected experience value and the estimated experience value. For another aspect, the method and system may further include a state prediction system to determine probabilities of transitioning that may be applied to determine the estimated experience value.
    Type: Grant
    Filed: October 16, 2018
    Date of Patent: January 10, 2023
    Assignee: Adobe Inc.
    Inventors: Deepali Jain, Atanu R. Sinha, Deepali Gupta, Nikhil Sheoran, Sopan Khosla, Reshmi Naduparambil Sasidharan
  • Characterizing and Modifying User Experience of Computing Environments Based on Behavior Logs
    Publication number: 20200118145
    Abstract: There is described a method and system in an interactive computing environment modified with user experience values based on behavior logs. An experience valuation system determines an experience value and an estimated experience value. The experience value is based on a current state of interaction data from a user session, based on a history of past events, and an estimation function defined by parameters to model the user experience values. The estimated experience value is determined based on, in addition to the current state and the estimation function, next states associated with the current state, and a reward function. The parameters of the estimation function are updated based on a comparison of the expected experience value and the estimated experience value. For another aspect, the method and system may further include a state prediction system to determine probabilities of transitioning that may be applied to determine the estimated experience value.
    Type: Application
    Filed: October 16, 2018
    Publication date: April 16, 2020
    Applicant: Adobe Inc.
    Inventors: Deepali Jain, Atanu R. Sinha, Deepali Gupta, Nikhil Sheoran, Sopan Khosla, Reshmi Naduparambil Sasidharan