Patents by Inventor Anshika Pandita

Anshika Pandita 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).

  • Method and system for providing personalized presearch for users of a data management system
    Patent number: 11645584
    Abstract: Systems and methods for identifying recommended topics are disclosed. An example method may be performed by one or more processors of a system and include identifying one or more attributes of a system user, identifying a subset of topics relevant to the system user based on analyzing the one or more attributes of the system user using an analysis model trained with a machine learning process to identify relevant topics for system users based on historical user attributes, generating, for each respective topic of the subset of topics, using the trained analysis model, a relevance score for the respective topic based at least in part on a most recent system page previously accessed by the system user and a current system page accessed by the system user, and generating one or more recommended topics for the system user based on the relevance scores.
    Type: Grant
    Filed: August 9, 2021
    Date of Patent: May 9, 2023
    Assignee: Intuit Inc.
    Inventors: Sirigiri Venkata Giri, Govinda Raj Sambamurthy, Charu Garg, Samar Ranjan, Anshika Pandita, Manish Jain, Anand Patil, Satyajit Nath Bhowmik
  • METHOD AND SYSTEM FOR PROVIDING PERSONALIZED PRESEARCH FOR USERS OF A DATA MANAGEMENT SYSTEM
    Publication number: 20210365839
    Abstract: Systems and methods for identifying recommended topics are disclosed. An example method may be performed by one or more processors of a system and include identifying one or more attributes of a system user, identifying a subset of topics relevant to the system user based on analyzing the one or more attributes of the system user using an analysis model trained with a machine learning process to identify relevant topics for system users based on historical user attributes, generating, for each respective topic of the subset of topics, using the trained analysis model, a relevance score for the respective topic based at least in part on a most recent system page previously accessed by the system user and a current system page accessed by the system user, and generating one or more recommended topics for the system user based on the relevance scores.
    Type: Application
    Filed: August 9, 2021
    Publication date: November 25, 2021
    Applicant: Intuit Inc.
    Inventors: Sirigiri Venkata Giri, Govinda Raj Sambamurthy, Charu Garg, Samar Ranjan, Anshika Pandita, Manish Jain, Anand Patil, Satyajit Nath Bhowmik
  • Method and system for providing personalized presearch for users of a data management system
    Patent number: 11138519
    Abstract: A method and system provides personalized self-help assistance to users of a data management system. The method and system trains an analysis model to identify relevant assistance topics based personal attributes of the user and contextual attributes associated with the user. The method and system outputs personalized assistance topics recommendation data to the user based on the analysis of the analysis model.
    Type: Grant
    Filed: May 23, 2018
    Date of Patent: October 5, 2021
    Assignee: Intuit Inc.
    Inventors: Sirigiri Venkata Giri, Govinda Raj Sambamurthy, Charu Garg, Samar Ranjan, Anshika Pandita, Manish Jain, Anand Patil, Satyajit Nath Bhowmik