公开(公告)号：US20230237436A1

公开(公告)日：2023-07-27

申请号：US18127360

申请日：2023-03-28

Applicant: iCIMS, Inc.

Inventor： Adrian MIHAI ,  Shiying CHEN

IPC: G06Q10/1053 ,  G06N3/08 ,  G06Q30/0201

CPC classification number: G06Q10/1053 ,  G06N3/08 ,  G06Q30/0201

Abstract: In some embodiments, a method can include receiving a set of job descriptions and a set of candidate profiles. Each job description is associated with a first subset of candidate profiles from the set of candidate profiles. The method can further include executing a model to identify, from the first subset of candidate profiles, a second subset of candidate profiles that satisfy a fit metric and a third subset of candidate profiles that does not satisfy the fit metric. The method can further include calculating a bias metric based on a true positive value, a false positive value, a true negative value, and a false negative value that were calculated based on auditing the second subset of candidate profiles and the third subset of candidate profiles. The method can further include updating the set of job descriptions based on the bias metric.

公开(公告)号：US20230076049A1

公开(公告)日：2023-03-09

申请号：US17469468

申请日：2021-09-08

Applicant: iCIMS, Inc.

Inventor： Shiying CHEN ,  Amber M. BROWN

IPC: G06Q10/10 ,  G06N20/00 ,  G06K9/62 ,  G06F17/11

Abstract: In some embodiments, a method can include receiving, during a hiring process, a set of candidate profiles associated with job information, a first slate goal for a first protected class, and a second slate goal for a second protected class. The method can further include extracting slate demographic data from the set of candidate profiles. The method can further include executing a trained machine learning model based on the first slate goal and the slate demographic data to predict a first hiring progression x1, and based on the second slate goal and the slate demographic data to predict a second hiring progression x2. The method can further include generating, after predicting the first hiring progression and the second hiring progression, updated job information based on the job information, the first slate goal, the first hiring progression, the second slate goal, and the second hiring progression.

公开(公告)号：US20240289749A1

公开(公告)日：2024-08-29

申请号：US18656117

申请日：2024-05-06

Applicant: iCIMS, Inc.

Inventor： Adrian MIHAI ,  Shiying CHEN

IPC: G06Q10/1053 ,  G06N3/08 ,  G06Q30/0201

CPC classification number: G06Q10/1053 ,  G06N3/08 ,  G06Q30/0201

Abstract: In some embodiments, a method can include receiving a set of job descriptions and a set of candidate profiles. Each job description is associated with a first subset of candidate profiles from the set of candidate profiles. The method can further include executing a model to identify, from the first subset of candidate profiles, a second subset of candidate profiles that satisfy a fit metric and a third subset of candidate profiles that does not satisfy the fit metric. The method can further include calculating a bias metric based on a true positive value, a false positive value, a true negative value, and a false negative value that were calculated based on auditing the second subset of candidate profiles and the third subset of candidate profiles. The method can further include updating the set of job descriptions based on the bias metric.

公开(公告)号：US20230026042A1

公开(公告)日：2023-01-26

申请号：US17376665

申请日：2021-07-15

Applicant: iCIMS, Inc.

Inventor： Adrian MIHAI ,  Shiying CHEN

IPC: G06Q10/10 ,  G06Q30/02 ,  G06N3/08

Abstract: In some embodiments, a method can include receiving a set of job descriptions and a set of candidate profiles. Each job description is associated with a first subset of candidate profiles from the set of candidate profiles. The method can further include executing a model to identify, from the first subset of candidate profiles, a second subset of candidate profiles that satisfy a fit metric and a third subset of candidate profiles that does not satisfy the fit metric. The method can further include calculating a bias metric based on a true positive value, a false positive value, a true negative value, and a false negative value that were calculated based on auditing the second subset of candidate profiles and the third subset of candidate profiles. The method can further include updating the set of job descriptions based on the bias metric.

公开(公告)号：US20250061426A1

公开(公告)日：2025-02-20

申请号：US18933637

申请日：2024-10-31

Applicant: iCIMS, Inc.

Inventor： Shiying CHEN

IPC: G06Q10/1053 ,  G06Q10/0631

Abstract: An apparatus includes a processor and a memory storing instructions to cause the processor to receive (1) user data associated with a user, (2) target workforce data, (3) target role data, and (4) candidate pool data, randomly select a plurality of candidates from the candidate pool data, execute a machine learning model to generate matching scores for the user and each candidate to the target role data, to produce a matching score distribution, and generate, via a statistical model, a fit score for the user based on a number of candidates in a subset of candidates, where each candidate from the subset of candidates has a matching score lower than the user matching score.