Patents by Inventor Venkata Chandrashekar Duvvuri

Venkata Chandrashekar Duvvuri 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).

  • Publication number: 20210264202
    Abstract: The present disclosure generally relates to evaluating communication workflows comprised of tasks using machine-learning techniques. More particularly, the present disclosure relates to systems and methods for generating a prediction of a task outcome of a communication workflow, generating a recommendation of one or more tasks to add to a partial communication workflow to complete the communication workflow, and generating a vector representation of a communication workflow.
    Type: Application
    Filed: February 25, 2020
    Publication date: August 26, 2021
    Applicant: Oracle International Corporation
    Inventors: Sudhakar Kalluri, Venkata Chandrashekar Duvvuri
  • Publication number: 20210263767
    Abstract: The present disclosure generally relates to evaluating communication workflows comprised of tasks using machine-learning techniques. More particularly, the present disclosure relates to systems and methods for generating a prediction of a task outcome of a communication workflow, generating a recommendation of one or more tasks to add to a partial communication workflow to complete the communication workflow, and generating a vector representation of a communication workflow.
    Type: Application
    Filed: February 25, 2020
    Publication date: August 26, 2021
    Applicant: Oracle International Corporation
    Inventors: Sudhakar Kalluri, Venkata Chandrashekar Duvvuri
  • Publication number: 20210264251
    Abstract: The present disclosure generally relates to evaluating communication workflows comprised of tasks using machine-learning techniques. More particularly, the present disclosure relates to systems and methods for generating a prediction of a task outcome of a communication workflow, generating a recommendation of one or more tasks to add to a partial communication workflow to complete the communication workflow, and generating a vector representation of a communication workflow.
    Type: Application
    Filed: February 25, 2020
    Publication date: August 26, 2021
    Applicant: Oracle International Corporation
    Inventors: Sudhakar Kalluri, Venkata Chandrashekar Duvvuri
  • Publication number: 20210201237
    Abstract: The present disclosure relates to systems and methods for intelligently selecting users for inclusion in workflows. In some examples, machine-learning techniques can be executed to intelligently expand the set of user profiles included in a workflow. The intelligent selection of new user profiles may be continuously performed over time intervals, thereby enhancing the computational efficiency and accuracy of expanding the user profiles selected for inclusion in the workflow.
    Type: Application
    Filed: December 27, 2019
    Publication date: July 1, 2021
    Applicant: Oracle International Corporation
    Inventors: Navin Chand Boddu, Venkata Chandrashekar Duvvuri
  • Publication number: 20210158182
    Abstract: The present disclosure relates to systems and methods for using machine-learning techniques to detect similar features between data sets. More particularly, the present disclosure relates to systems and methods that learn feature patterns within at least two data sets using machine-learning techniques to determine similarities between clusters of users in a scalable and computationally efficient manner.
    Type: Application
    Filed: November 25, 2019
    Publication date: May 27, 2021
    Applicant: Oracle International Corporation
    Inventors: Venkata Chandrashekar Duvvuri, Samba Reyes Njie
  • Publication number: 20210125221
    Abstract: A campaign profile specifies products and/or content items associated with a campaign. A target group selection engine applies an affinity attribute model to user information of a user. The affinity attribute model is used to determine the user's affinity towards (a) product attributes of the products associated with the campaign and/or (b) content attributes of the content items associated with the campaign. The affinity attribute model may be generated using machine learning. A user interface accepts target user tuning parameters that specify weights to be applied to the affinity attributes determined by the affinity attribute model. Based at least on applying the weights to the affinity attributes, an inclusion score and/or exclusion score for the user is determined. The user is included in a target group, for engaging with the campaign, based on the inclusion score and/or exclusion score.
    Type: Application
    Filed: October 28, 2019
    Publication date: April 29, 2021
    Applicant: Oracle International Corporation
    Inventors: Venkata Chandrashekar Duvvuri, Jeffrey Alan Stern