ENRICHMENT PIPELINE FOR MACHINE LEARNING

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 optim...

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Bibliographic Details
Main Authors Gholston, Thaddeus, Miguel, Amanda, Martin, Winn, Robinson, Jason
Format Patent
LanguageEnglish
Published 20.04.2023
Subjects
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Summary: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.
Bibliography:Application Number: US202217968855