Machine learning technical support selection
US11080655B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 9, 2018 |
| Grant date | Aug 3, 2021 |
| Priority date | — |
| Expiry date | Apr 1, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/063112
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for improving a machine learning technical support applicant selection process is provided. The method includes retrieving and analyzing, in real time, job role data, resume based data, and sensor data associated with a plurality of individuals. A specialized memory repository is generated within a specified portion of a hardware memory device and results of the analysis are stored within the specialized memory repository. Self-learning software code for executing a job applicant selection process is generated and a plurality of current resumes and previously generated time-based resumes are retrieved for current job applicants for a specified position. The current resumes are analyzed with respect to the previously generated time-based resumes and associated inconsistencies are determined. A first job applicant is selected and the self-learning software code is modified.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.