Patents by Inventor Eoin O'Gorman

Eoin O'Gorman 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).

  • Methods and apparatuses to rank multiple results from multiple search engines using a fully connected neural network
    Patent number: 11971899
    Abstract: In an embodiment, a plurality of ballots (1) for a plurality of candidates, (2) generated by a plurality of search engines, and (3) for a job description are received. Each ballot from the plurality of ballots is generated by a search engine from the plurality of search engines different than remaining search engines from the plurality of search engines. A mathematical representation that indicates, for each candidate from the plurality of candidates, how many other candidates from the plurality of candidates that candidate was ranked higher than in the plurality of ballots is generated. A final ballot ranking the plurality of candidates is generated using a trained statistical model and based on the mathematical representation. A candidate from the plurality of candidates for the job description is identified based on the final ballot.
    Type: Grant
    Filed: August 18, 2023
    Date of Patent: April 30, 2024
    Assignee: iCIMS, Inc.
    Inventors: Liliya Akhtyamova, Eoin O'Gorman
  • MACHINE LEARNING BASED CLASSIFICATION AND ANNOTATION OF PARAGRAPH OF RESUME DOCUMENT IMAGES BASED ON VISUAL PROPERTIES OF THE RESUME DOCUMENT IMAGES, AND METHODS AND APPARATUS FOR THE SAME
    Publication number: 20220366123
    Abstract: In some embodiments, a method can include generating a resume document image having a standardized format, based on a resume document having a set of paragraphs. The method can further include executing a statistical model to generate an annotated resume document image from the resume document image. The annotated resume document image can indicate a bounding box and a paragraph type, for a paragraph from a set of paragraphs of the annotated resume document image. The method can further include identifying a block of text in the resume document corresponding to the paragraph of the annotated resume document image. The method can further include extracting the block of text from the resume document and associating the paragraph type to the block of text.
    Type: Application
    Filed: May 6, 2022
    Publication date: November 17, 2022
    Applicant: iCIMS, Inc.
    Inventors: Eoin O'GORMAN, Adrian MIHAI
  • Machine learning based classification and annotation of paragraph of resume document images based on visual properties of the resume document images, and methods and apparatus for the same
    Patent number: 11354485
    Abstract: In some embodiments, a method can include generating a resume document image having a standardized format, based on a resume document having a set of paragraphs. The method can further include executing a statistical model to generate an annotated resume document image from the resume document image. The annotated resume document image can indicate a bounding box and a paragraph type, for a paragraph from a set of paragraphs of the annotated resume document image. The method can further include identifying a block of text in the resume document corresponding to the paragraph of the annotated resume document image. The method can further include extracting the block of text from the resume document and associating the paragraph type to the block of text.
    Type: Grant
    Filed: May 13, 2021
    Date of Patent: June 7, 2022
    Assignee: iCIMS, Inc.
    Inventors: Eoin O'Gorman, Adrian Mihai