Scoring model methods and apparatus
AssigneeZlemma, Inc.
InventorsGaurav Bubna, Ashwin Rao
Life of this patent
Estimating the term…
Abstract
Techniques comprising: obtaining information associated with a job; obtaining semi-structured natural language input comprising credentials of a candidate for the job; identifying the candidate's credentials at least in part by automatically processing the semi-structured natural language input; and calculating a talent score for the candidate based, at least in part, on the identified the candidate's credentials and the information associated with the job.
Claims20
A method, comprising:
- using at least one computer hardware processor to perform:
- obtaining information associated with a job;
- obtaining semi-structured natural language input comprising credentials of a candidate for the job;
- identifying the candidate's credentials at least in part by automatically processing the semi-structured natural language input;
- and
- calculating a talent score for the candidate based, at least in part, on the identified the candidate's credentials and the information associated with the job.
A system, comprising:
- at least one computer hardware processor programmed to perform:
- obtaining information associated with a job;
- obtaining semi-structured natural language input comprising credentials of a candidate for the job;
- identifying the candidate's credentials at least in part by automatically processing the semi-structured natural language input;
- and
- calculating a talent score for the candidate based, at least in part, on the identified the candidate's credentials and the information associated with the job.
At least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by at least one computer hardware processor, cause the at last one computer hardware processor to perform a method comprising:
- obtaining information associated with a job;
- obtaining semi-structured natural language input comprising credentials of a candidate for the job;
- identifying the candidate's credentials at least in part by automatically processing the semi-structured natural language input;
- and
- calculating a talent score for the candidate based, at least in part, on the identified the candidate's credentials and the information associated with the job.
Dependencies are inferred from the claim text.