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Applicant skills inference for a job

  • US 10,380,552 B2
  • Filed: 01/12/2017
  • Issued: 08/13/2019
  • Est. Priority Date: 10/31/2016
  • Status: Active Grant
First Claim
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1. A system comprising:

  • a jobs database storing a plurality of job postings, a job posting in the plurality of job postings having a number of submitted job applications;

    a member database storing profile data of a plurality of members in a social network system, the profile data of a member in the plurality of members having skills listed on a profile page of the member and an indicator that the member has applied to a job posting in the plurality of job postings;

    one or more processors configured to;

    select, from the jobs database, a specific job posting from the plurality of job postings, the number of submitted job applications for the specific job posting being above a predetermined threshold;

    determine, using indicators in the profile data of the plurality of members, job applicants that have applied to the specific job posting;

    obtain, using profile data of the job applicants, a set of skills associated with the job applicants;

    determine, using the profile data of the job applicants, a percentage of the job applicants having a specific skill from the set of skills;

    calculate a confidence score of the specific skill being associated with the specific job posting based on the percentage of the job applicants having the specific skill; and

    select a first member from the plurality of members based on the first member having an indicator that the first member has not previously applied to the specific job posting; and

    a user interface causing a presentation of the specific job posting to the first member when the confidence score transgresses a predetermined score, the specific skill being listed on a profile page of the first member.

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