- 专利标题: ENRICHMENT PIPELINE FOR MACHINE LEARNING
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申请号: US17968855申请日: 2022-10-19
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公开(公告)号: US20230120206A1公开(公告)日: 2023-04-20
- 发明人: Amanda Miguel , Thaddeus Gholston , Jason Robinson , Winn Martin
- 申请人: Steady Platform LLC
- 申请人地址: US GA Atlanta
- 专利权人: Steady Platform LLC
- 当前专利权人: Steady Platform LLC
- 当前专利权人地址: US GA Atlanta
- 主分类号: G06Q10/10
- IPC分类号: G06Q10/10 ; G06F16/903
摘要:
Provided are systems and methods for recommending job opportunities via a machine learning engine which is coupled to an enrichment pipeline. The enrichment pipeline can add skills information and other beneficial data to enrich a job profile of a user and use the enriched record to predict an optimal job opportunity or set of opportunities. In one example, the method includes receiving a description of employment data, identifying a unique identifier of a job profile based on the description of the employment data, querying a database with the unique identifier to retrieve a list of skills from the database and that are mapped to the unique identifier, transforming the list of skills from into a skills vector, determining one or more optimal job opportunities via execution of a ML model on the skills vector, and outputting information about the optimal job opportunities via a user interface.
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