SYSTEM AND METHOD FOR RATING OF PERSONNEL USING CROWDSOURCING IN COMBINATION WITH WEIGHTED EVALUATOR RATINGS

Patent №

US 11,816,622

Granted

2023-11-14

Filed 2017

Owner

SCOUTZINC, LLC

Lab

AI components

3

ml · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15676648

Personnel evaluation based on crowdsourcing concepts. An approach to personnel evaluation is described that uses crowd-sourced data and an iterative approach. Individual personnel evaluators are themselves evaluated and assigned weighting factors based on their acumen and accuracy with regard to personnel evaluation. Personnel evaluations are provided by each personnel evaluator, who collectively form a crowdsourcing crowd, and weighted according to each evaluator's assigned weighting factor. The crowd-sourced weighted-averages from all evaluators are combined and used periodically and iteratively to evaluate the individual crowdsourcing participants and to re-calculate their individual weighting factors. The approach provides more accurate and more directed personnel evaluations as compared to simple arithmetic averaging of crowd-sourced data, and is improved with each iteration over time.

AI classification

Knowledge representation1.00
Planning0.98
Machine learning0.63
Vision0.22
AI hardware0.03
Natural language0.03
Evolutionary computation0.00
Speech0.00

Ownership

SCOUTZINC, LLC

assignment · 432860800

Assignors

HAHN, DAVID WORTHINGTON, WILLIS, ALEXANDER JEROME

On an employer assignment, the assignors are typically the inventors.

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