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
Ownership
SCOUTZINC, LLC
assignment · 432860800
Assignors
HAHN, DAVID WORTHINGTON, WILLIS, ALEXANDER JEROME
On an employer assignment, the assignors are typically the inventors.