Invention Grant
- Patent Title: Machine learning technical support selection
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Application No.: US15916399Application Date: 2018-03-09
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Publication No.: US11080655B2Publication Date: 2021-08-03
- Inventor: James D. Cleaver , Stefan Harrer , Laurence J. Plant
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Schmeiser, Olsen & Watts
- Agent Nicholas L. Cadmus
- Main IPC: G06Q10/10
- IPC: G06Q10/10 ; G06Q10/06 ; G06F8/30 ; G06F8/65 ; G06N20/00 ; G06F16/435

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.
Public/Granted literature
- US20190279159A1 MACHINE LEARNING TECHNICAL SUPPORT SELECTION Public/Granted day:2019-09-12
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