- 专利标题: UTILIZING A MACHINE LEARNING MODEL TO DETERMINE ANONYMIZED AVATARS FOR EMPLOYMENT INTERVIEWS
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申请号: US17809989申请日: 2022-06-30
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公开(公告)号: US20220383263A1公开(公告)日: 2022-12-01
- 发明人: Michael MOSSOBA , Abdelkadar M'Hamed BENKREIRA , Jeffrey RULE , Kaylyn GIBILTERRA
- 申请人: Capital One Services, LLC
- 申请人地址: US VA McLean
- 专利权人: Capital One Services, LLC
- 当前专利权人: Capital One Services, LLC
- 当前专利权人地址: US VA McLean
- 主分类号: G06Q10/10
- IPC分类号: G06Q10/10
摘要:
A device receives interviewer data, associated with interviewers conducting interviews with interviewees, that includes data identifying avatars presented to the interviewers. The device receives interviewee data, associated with the interviewees, that includes data identifying genders of the interviewees. The device processes the interviewer data and the interviewee data, with a model, to generate unbiased training data, and trains a machine learning model, with the unbiased training data, to generate a trained machine learning model. The device receives particular interviewer data identifying a particular role, location, and/or gender of a particular interviewer, and receives particular interviewee data identifying a gender of a particular interviewee. The device processes the particular interviewer data and the particular interviewee data, with the trained machine learning model, to determine one or more anonymized avatars to present to the particular interviewer, and performs one or more actions based on the one or more anonymized avatars.
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