Patents by Inventor Kimberly McManus

Kimberly McManus 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).

  • Patent number: 10831841
    Abstract: Methods, systems, and computer programs are presented for expanding a job search that includes an industry by adding other similar industries. A method identifies job titles of members in a social network and performs, utilizing a machine-learning program, semantic analysis of the job titles to identify similarity coefficients among the job titles. The machine-learning program utilizes social network data to identify the similarity coefficients. Further, the method includes an operation for receiving a job search query, from a first member, including a query job title, and for expanding the job search query with job titles that are similar to the query job title. The method further includes operations for executing the expanded job search query to generate a plurality of job results, and for causing presentation on a display of one or more of the top job results.
    Type: Grant
    Filed: December 15, 2016
    Date of Patent: November 10, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Aman Grover, Dhruv Arya, Ganesh Venkataraman, Kimberly McManus, Liang Zhang
  • Patent number: 10474725
    Abstract: Methods, systems, and computer programs are presented for expanding a job search that includes an industry by adding other similar industries. A method accesses, by a social networking server, a plurality of job applications, with each job application being submitted by a member for a job in a company, the member and the job having a respective industry from a plurality of industries. Semantic analysis of the job applications is performed by a machine-learning program to identify similarity coefficients among the plurality of industries. A job search query is received from a first member, the job search query including a query industry, and the job search query is expanded with industries that are similar to the query industry. The social networking server executes the expanded job search query to generate a plurality of job results. Presentation is provided on a display of one or more of the top job results.
    Type: Grant
    Filed: December 15, 2016
    Date of Patent: November 12, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Aman Grover, Dhruv Arya, Ganesh Venkataraman, Kimberly McManus, Liang Zhang
  • Publication number: 20180173803
    Abstract: Methods, systems, and computer programs are presented for expanding a job search that includes an industry by adding other similar industries. A method accesses, by a social networking server, a plurality of job applications, with each job application being submitted by a member for a job in a company, the member and the job having a respective industry from a plurality of industries. Semantic analysis of the job applications is performed by a machine-learning program to identify similarity coefficients among the plurality of industries. A job search query is received from a first member, the job search query including a query industry, and the job search query is expanded with industries that are similar to the query industry. The social networking server executes the expanded job search query to generate a plurality of job results. Presentation is provided on a display of one or more of the top job results.
    Type: Application
    Filed: December 15, 2016
    Publication date: June 21, 2018
    Inventors: Aman Grover, Dhruv Arya, Ganesh Venkataraman, Kimberly McManus, Liang Zhang
  • Publication number: 20180173802
    Abstract: Methods, systems, and computer programs are presented for expanding a job search that includes an industry by adding other similar industries. A method identifies job titles of members in a social network and performs, utilizing a machine-learning program, semantic analysis of the job titles to identify similarity coefficients among the job titles. The machine-learning program utilizes social network data to identify the similarity coefficients. Further, the method includes an operation for receiving a job search query, from a first member, including a query job title, and for expanding the job search query with job titles that are similar to the query job title. The method further includes operations for executing the expanded job search query to generate a plurality of job results, and for causing presentation on a display of one or more of the top job results.
    Type: Application
    Filed: December 15, 2016
    Publication date: June 21, 2018
    Inventors: Aman Grover, Dhruv Arya, Ganesh Venkataraman, Kimberly McManus, Liang Zhang