Patents by Inventor Venkata Karthik Penikalapati

Venkata Karthik Penikalapati 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).

  • Utilizing a sketching generator to adaptively generate content-campaign predictions for multi-dimensional or high-dimensional targeting criteria
    Patent number: 11348130
    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods to generate sketches for clearing-bid values and bid-success rates based on multi-dimensional targeting criteria for a digital-content campaign and dynamically determine predicted values for the digital-content campaign based on the sketches. To illustrate, the disclosed systems can use a running-average-tuple-sketch to generate tuple sketches of historical clearing-bid values and tuple sketches of historical bid-success-rates from historical auction data. Based on the tuple sketches, the disclosed systems can determine one or more of a predicted cost per quantity of impressions, a predicted number of impressions, or a predicted expenditure for the digital-content campaign—according to user-input targeting criteria and expenditure constraints.
    Type: Grant
    Filed: August 17, 2020
    Date of Patent: May 31, 2022
    Assignee: Adobe Inc.
    Inventors: Chih Hsin Hsueh, Viswanathan Swaminathan, Venkata Karthik Penikalapati, Seth Olson, Michael Schiff, Gang Wu, Daniel Pang, Alok Kothari
  • UTILIZING A SKETCHING GENERATOR TO ADAPTIVELY GENERATE CONTENT-CAMPAIGN PREDICTIONS FOR MULTI-DIMENSIONAL OR HIGH-DIMENSIONAL TARGETING CRITERIA
    Publication number: 20220051274
    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods to generate sketches for clearing-bid values and bid-success rates based on multi-dimensional targeting criteria for a digital-content campaign and dynamically determine predicted values for the digital-content campaign based on the sketches. To illustrate, the disclosed systems can use a running-average-tuple-sketch to generate tuple sketches of historical clearing-bid values and tuple sketches of historical bid-success-rates from historical auction data. Based on the tuple sketches, the disclosed systems can determine one or more of a predicted cost per quantity of impressions, a predicted number of impressions, or a predicted expenditure for the digital-content campaign—according to user-input targeting criteria and expenditure constraints.
    Type: Application
    Filed: August 17, 2020
    Publication date: February 17, 2022
    Inventors: Chih Hsin Hsueh, Viswanathan Swaminathan, Venkata Karthik Penikalapati, Seth Olson, Michael Schiff, Gang Wu, Daniel Pang, Alok Kothari