AUGMENTING ROLES WITH METADATA

A computer hardware system includes a machine learning engine and a hardware processor configured to perform the following executable operations. Text of a role description of a role having a role title is preprocessed. Competencies are inferred from the role description; using the machine learning...

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Bibliographische Detailangaben
Hauptverfasser:	Anand, Swati, Mhatre, Parag Sanjay, Warrier, Vivek, Patil, Madhusmita, Rakesh, Karanam, Jain, Ayushi, Mathew, Renjith Koorumullamkattil
Format:	Patent
Sprache:	eng
Schlagworte:	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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Beschreibung
Zusammenfassung:	A computer hardware system includes a machine learning engine and a hardware processor configured to perform the following executable operations. Text of a role description of a role having a role title is preprocessed. Competencies are inferred from the role description; using the machine learning engine. Competencies are identified from titles in a talent framework being similar to the title using the machine learning engine. The competencies are aggregated into an aggregation of competencies. The competencies in the aggregation are ordered based upon aggregated similarity scores. A proficiency level associated with each of the competencies in the aggregation is adjusted based upon band level and competency type. A plurality of competencies are selected. The role is augmented with metadata that includes the selected plurality of competencies and proficiency levels associated therewith.