Patents by Inventor Peter Ernest Lenz, Jr.

Peter Ernest Lenz, Jr. 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).

  • Artificial intelligence and/or machine learning systems and methods for evaluating audiences in an embedding space based on keywords
    Patent number: 11921732
    Abstract: In some embodiments, a method includes determining a position for a search query and a position for each audience record from multiple audience records in an embedding space. The method further includes receiving multiple device records, each associated with an audience record. The method further includes determining multiple keywords, each associated with an audience record and determining a position for each keyword in the embedding space. The method further includes calculating a first distance between the position of the search query in the embedding space and the position of each audience record in the embedding space. The method further includes calculating a second distance between the position of the search query in the embedding space and the position of each keyword in the embedding space. The method further includes ranking each audience record based on the first distance and the second distance.
    Type: Grant
    Filed: August 1, 2023
    Date of Patent: March 5, 2024
    Assignee: Dstillery, Inc.
    Inventors: Melinda Han Williams, Peter Ernest Lenz, Jr., Yeming Shi, Patrick Joseph McCarthy, Amelia Grieve White
  • ARTIFICIAL INTELLIGENCE AND/OR MACHINE LEARNING SYSTEMS AND METHODS FOR EVALUATING AUDIENCES IN AN EMBEDDING SPACE BASED ON KEYWORDS
    Publication number: 20230376493
    Abstract: In some embodiments, a method includes determining a position for a search query and a position for each audience record from multiple audience records in an embedding space. The method further includes receiving multiple device records, each associated with an audience record. The method further includes determining multiple keywords, each associated with an audience record and determining a position for each keyword in the embedding space. The method further includes calculating a first distance between the position of the search query in the embedding space and the position of each audience record in the embedding space. The method further includes calculating a second distance between the position of the search query in the embedding space and the position of each keyword in the embedding space. The method further includes ranking each audience record based on the first distance and the second distance.
    Type: Application
    Filed: August 1, 2023
    Publication date: November 23, 2023
    Applicant: Dstillery, Inc.
    Inventors: Melinda Han WILLIAMS, Peter Ernest LENZ, JR., Yeming SHI, Patrick Joseph MCCARTHY, Amelia Grieve WHITE
  • Artificial intelligence and/or machine learning systems and methods for evaluating audiences in an embedding space based on keywords
    Patent number: 11768844
    Abstract: In some embodiments, a method includes determining a position for a search query and a position for each audience record from multiple audience records in an embedding space. The method further includes receiving multiple device records, each associated with an audience record. The method further includes determining multiple keywords, each associated with an audience record and determining a position for each keyword in the embedding space. The method further includes calculating a first distance between the position of the search query in the embedding space and the position of each audience record in the embedding space. The method further includes calculating a second distance between the position of the search query in the embedding space and the position of each keyword in the embedding space. The method further includes ranking each audience record based on the first distance and the second distance.
    Type: Grant
    Filed: February 13, 2023
    Date of Patent: September 26, 2023
    Assignee: Dstillery, Inc.
    Inventors: Melinda Han Williams, Peter Ernest Lenz, Jr., Yeming Shi, Patrick Joseph McCarthy, Amelia Grieve White
  • MACHINE LEARNING SYSTEM AND METHOD FOR IDENTIFYING AUDIENCES ASSOCIATED WITH SEARCH QUERIES IN AN EMBEDDING SPACE
    Publication number: 20230195736
    Abstract: In some embodiments, a method includes determining a position for a search query and a position for each audience record from multiple audience records in an embedding space. The method further includes receiving multiple device records, each associated with an audience record. The method further includes determining multiple keywords, each associated with an audience record and determining a position for each keyword in the embedding space. The method further includes calculating a first distance between the position of the search query in the embedding space and the position of each audience record in the embedding space. The method further includes calculating a second distance between the position of the search query in the embedding space and the position of each keyword in the embedding space. The method further includes ranking each audience record based on the first distance and the second distance.
    Type: Application
    Filed: February 13, 2023
    Publication date: June 22, 2023
    Applicant: Dstillery, Inc.
    Inventors: Melinda Han WILLIAMS, Peter Ernest LENZ, JR., Yeming SHI, Patrick Joseph MCCARTHY, Amelia Grieve WHITE
  • Machine learning system and method to map keywords and records into an embedding space
    Patent number: 11580117
    Abstract: In some embodiments, a method includes determining a position for a search query and a position for each audience record from multiple audience records in an embedding space. The method further includes receiving multiple device records, each associated with an audience record. The method further includes determining multiple keywords, each associated with an audience record and determining a position for each keyword in the embedding space. The method further includes calculating a first distance between the position of the search query in the embedding space and the position of each audience record in the embedding space. The method further includes calculating a second distance between the position of the search query in the embedding space and the position of each keyword in the embedding space. The method further includes ranking each audience record based on the first distance and the second distance.
    Type: Grant
    Filed: January 25, 2021
    Date of Patent: February 14, 2023
    Assignee: Dstillery, Inc.
    Inventors: Peter Ernest Lenz, Jr., Yeming Shi, Amelia Grieve White, Patrick Joseph McCarthy, Melinda Han Williams
  • MACHINE LEARNING SYSTEM AND METHOD TO MAP KEYWORDS AND RECORDS INTO AN EMBEDDING SPACE
    Publication number: 20210319035
    Abstract: In some embodiments, a method includes determining a position for a search query and a position for each audience record from multiple audience records in an embedding space. The method further includes receiving multiple device records, each associated with an audience record. The method further includes determining multiple keywords, each associated with an audience record and determining a position for each keyword in the embedding space. The method further includes calculating a first distance between the position of the search query in the embedding space and the position of each audience record in the embedding space. The method further includes calculating a second distance between the position of the search query in the embedding space and the position of each keyword in the embedding space. The method further includes ranking each audience record based on the first distance and the second distance.
    Type: Application
    Filed: January 25, 2021
    Publication date: October 14, 2021
    Applicant: Dstillery, Inc.
    Inventors: Peter Ernest LENZ, JR., Yeming SHI, Patrick Joseph MCCARTHY, Amelia Grieve WHITE, Melinda Han WILLIAMS
  • Machine learning system and method to map keywords and records into an embedding space
    Patent number: 10902009
    Abstract: In some embodiments, a method includes determining a position for a search query and a position for each audience record from multiple audience records in an embedding space. The method further includes receiving multiple device records, each associated with an audience record. The method further includes determining multiple keywords, each associated with an audience record and determining a position for each keyword in the embedding space. The method further includes calculating a first distance between the position of the search query in the embedding space and the position of each audience record in the embedding space. The method further includes calculating a second distance between the position of the search query in the embedding space and the position of each keyword in the embedding space. The method further includes ranking each audience record based on the first distance and the second distance.
    Type: Grant
    Filed: July 23, 2020
    Date of Patent: January 26, 2021
    Assignee: Dstillery, Inc.
    Inventors: Peter Ernest Lenz, Jr., Yeming Shi, Patrick Joseph Mccarthy, Amelia Grieve White, Melinda Han Williams