Patents by Inventor Venkata Murali TEJOMURTULA

Venkata Murali TEJOMURTULA 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).

  • Recommending data providers' datasets based on database value densities
    Patent number: 10817479
    Abstract: Recommending data providers' datasets based on database value densities is described. A database system determines a provider dataset density for a value by identifying a frequency of the value in a dataset that is provided by a data provider. The database system determines a user database density for the value by identifying a frequency of the value in a database used by a data user. The database system determines a relative density based on a relationship between the provider dataset density and the user database density. The database system determines an evaluation metric for the value, based on a combination of the relative density and the user database density. The database system causes a recommendation to be outputted, based on a relationship of the evaluation metric relative to other evaluation metrics for other values, which recommends that the data user acquire at least a part of the dataset.
    Type: Grant
    Filed: June 23, 2017
    Date of Patent: October 27, 2020
    Assignee: salesforce.com, inc.
    Inventors: Arun Kumar Jagota, Marc Joseph Delurgio, Venkata Murali Tejomurtula
  • RECOMMENDING DATA PROVIDERS' DATASETS BASED ON DATABASE VALUE DENSITIES
    Publication number: 20180373732
    Abstract: Recommending data providers' datasets based on database value densities is described. A database system determines a provider dataset density for a value by identifying a frequency of the value in a dataset that is provided by a data provider. The database system determines a user database density for the value by identifying a frequency of the value in a database used by a data user. The database system determines a relative density based on a relationship between the provider dataset density and the user database density. The database system determines an evaluation metric for the value, based on a combination of the relative density and the user database density. The database system causes a recommendation to be outputted, based on a relationship of the evaluation metric relative to other evaluation metrics for other values, which recommends that the data user acquire at least a part of the dataset.
    Type: Application
    Filed: June 23, 2017
    Publication date: December 27, 2018
    Inventors: Arun Kumar JAGOTA, Marc Joseph DELURGIO, Venkata Murali TEJOMURTULA