Patents by Inventor Robert Cary Sparrow

Robert Cary Sparrow 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).

  • System, computer program product and method for generating embeddings of textual and quantitative data
    Patent number: 11423070
    Abstract: A method, computer program product and computer system is disclosed that generates a set of distributed representation vectors from a dataset of textual and non-text data. In one method, a computer system receives a dataset, cleans the received dataset, parses the cleaned dataset to identify known classes of data, extracts data elements from the dataset based on the known classes of data, organizes the extracted data elements into one or more records, compiles a dictionary of unique data elements and associated codes from the one or more records, creates a set of training pairs using permutations of the codes that correspond to data elements within each record, and computes a distributed representation vector for each of the data elements in the dictionary using the set of training pairs.
    Type: Grant
    Filed: June 23, 2020
    Date of Patent: August 23, 2022
    Assignee: MARKET ADVANTAGE, INC.
    Inventor: Robert Cary Sparrow
  • SYSTEM, COMPUTER PROGRAM PRODUCT AND METHOD FOR GENERATING EMBEDDINGS OF TEXTUAL AND QUANTITATIVE DATA
    Publication number: 20200320114
    Abstract: A method, computer program product and computer system is disclosed that generates a set of distributed representation vectors from a dataset of textual and non-text data. In one method, a computer system receives a dataset, cleans the received dataset, parses the cleaned dataset to identify known classes of data, extracts data elements from the dataset based on the known classes of data, organizes the extracted data elements into one or more records, compiles a dictionary of unique data elements and associated codes from the one or more records, creates a set of training pairs using permutations of the codes that correspond to data elements within each record, and computes a distributed representation vector for each of the data elements in the dictionary using the set of training pairs.
    Type: Application
    Filed: June 23, 2020
    Publication date: October 8, 2020
    Applicant: Market Advantage, Inc.
    Inventor: Robert Cary SPARROW
  • System, computer program product and method for generating embeddings of textual and quantitative data
    Patent number: 10726058
    Abstract: A method, computer program product and computer system is disclosed that generates a set of distributed representation vectors from a dataset of textual and non-text data. In one method, a computer system receives a dataset, cleans the received dataset, parses the cleaned dataset to identify known classes of data, extracts data elements from the dataset based on the known classes of data, organizes the extracted data elements into one or more records, compiles a dictionary of unique data elements and associated codes from the one or more records, creates a set of training pairs using permutations of the codes that correspond to data elements within each record, and computes a distributed representation vector for each of the data elements in the dictionary using the set of training pairs.
    Type: Grant
    Filed: July 31, 2018
    Date of Patent: July 28, 2020
    Assignee: MARKET ADVANTAGE, INC.
    Inventor: Robert Cary Sparrow
  • SYSTEM, COMPUTER PROGRAM PRODUCT AND METHOD FOR GENERATING EMBEDDINGS OF TEXTUAL AND QUANTITATIVE DATA
    Publication number: 20200042611
    Abstract: A method, computer program product and computer system is disclosed that generates a set of distributed representation vectors from a dataset of textual and non-text data. In one method, a computer system receives a dataset, cleans the received dataset, parses the cleaned dataset to identify known classes of data, extracts data elements from the dataset based on the known classes of data, organizes the extracted data elements into one or more records, compiles a dictionary of unique data elements and associated codes from the one or more records, creates a set of training pairs using permutations of the codes that correspond to data elements within each record, and computes a distributed representation vector for each of the data elements in the dictionary using the set of training pairs.
    Type: Application
    Filed: July 31, 2018
    Publication date: February 6, 2020
    Applicant: Market Advantage, Inc.
    Inventor: Robert Cary Sparrow