Patents by Inventor Jia Lian Wang

Jia Lian Wang 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
  • 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