Patents by Inventor Nikhil Kataria

Nikhil Kataria 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).

  • GENERATION OF RECOMMENDATIONS FROM DYNAMICALLY-MAPPED DATA
    Publication number: 20240104630
    Abstract: System and methods are described for generating recommendations from dynamically-mapped data. In one implementation, a database system receives a first request to generate a recommendation objection and a second request to retrieve additional data to include in the recommendation object. The database system retrieves the recommendation data from a first database table. The database system identifies the additional data in a second database table that is stored separately from the first database table. The database system generates the recommendation object to include the recommendation data from the first database, and maps the additional data to one or more fields of the recommendation object.
    Type: Application
    Filed: December 4, 2023
    Publication date: March 28, 2024
    Applicant: Salesforce, Inc.
    Inventors: Joel Ragnar Palmert, Kiran Hariharan Nair, Merwan Hade, Nikhil Kataria, Jia Lian Wang, Michael Moriarty
  • Generation of recommendations from dynamically-mapped data
    Patent number: 11875393
    Abstract: System and methods are described for generating recommendations from dynamically-mapped data. In one implementation, a database system receives a first request to generate a recommendation objection and a second request to retrieve additional data to include in the recommendation object. The database system retrieves the recommendation data from a first database table. The database system identifies the additional data in a second database table that is stored separately from the first database table. The database system generates the recommendation object to include the recommendation data from the first database, and maps the additional data to one or more fields of the recommendation object.
    Type: Grant
    Filed: January 28, 2020
    Date of Patent: January 16, 2024
    Assignee: Salesforce, Inc.
    Inventors: Joel Ragnar Palmert, Kiran Hariharan Nair, Merwan Hade, Nikhil Kataria, Jia Lian Wang, Michael Moriarty
  • Containerized workflow engines executing metadata for user-defined applications
    Patent number: 11330070
    Abstract: Containerized workflow engines executing metadata for user-defined applications are described. A system utilizes user selections for configuring a user-defined application to identify application definition metadata. The system stores the application definition metadata for the user-defined application into a persistent storage. A workflow engine executes in a software container in response to receiving user context details and an invocation of the user-defined application. The workflow engine retrieves the application definition metadata from the persistent storage. The workflow engine inputs the user context details and executes the application definition metadata. The workflow engine outputs a result based on executing the application definition metadata.
    Type: Grant
    Filed: January 29, 2021
    Date of Patent: May 10, 2022
    Assignee: salesforce.com, inc.
    Inventors: Kiran Hariharan Nair, Nikhil Kataria, Alexander John Trzeciak
  • GENERATION OF RECOMMENDATIONS FROM DYNAMICALLY-MAPPED DATA
    Publication number: 20210233146
    Abstract: System and methods are described for generating recommendations from dynamically-mapped data. In one implementation, a database system receives a first request to generate a recommendation objection and a second request to retrieve additional data to include in the recommendation object. The database system retrieves the recommendation data from a first database table. The database system identifies the additional data in a second database table that is stored separately from the first database table. The database system generates the recommendation object to include the recommendation data from the first database, and maps the additional data to one or more fields of the recommendation object.
    Type: Application
    Filed: January 28, 2020
    Publication date: July 29, 2021
    Inventors: Joel Ragnar Palmert, Kiran Hariharan Nair, Merwan Hade, Nikhil Kataria, Jia Lian Wang, Michael Moriarty