UTILIZING SIMILARITY, KNOWLEDGE GRAPHS, AND MACHINE LEARNING MODELS TO REFINE/REDEFINE A TARGET SKILL PROFILE BASED ON SKILLS DATA FROM EMPLOYEES OF AN ENTITY AND ACTIVATE A RECOMMENDATION SYSTEM
A device may receive employee data associated with an employee, and may determine, from the employee data, skill data identifying skills of the employee. The device may process the employee data and the skill data, with a similarity model, to determine similarity scores between the skills of the ski...
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Zusammenfassung: | A device may receive employee data associated with an employee, and may determine, from the employee data, skill data identifying skills of the employee. The device may process the employee data and the skill data, with a similarity model, to determine similarity scores between the skills of the skill data, and may add or remove one or more skills to or from the skill data for predefined target skill profile categories to generate modified skill data. The device may compare the similarity scores and a predefined threshold to determine anchor skill data from the modified skill data, and may group the anchor skill data for corresponding pluralities of the predefined target skill profile categories to generate groups of the anchor skill data. The device may process the groups and the similarity scores, with a clustering model, to generate clustered anchor skill data, and may perform actions based on the clustered anchor skill data. |
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