Systems and methods for identifying hidden talent

US9996822B2 · kind B2 · utility

Assignee

• MERCER (US) INC. · US

Inventors

• Patty Pei-yi Sung · New York, US
• Barbara Marder · Baltimore, US
• Jonathan Meyers · Bloomington, US
• Aikaterini Rodriguez · Ossining, US
• Kevin Lin · Arcadia, US

Key dates

• Filing date: May 1, 2014
• Grant date: Jun 12, 2018
• Expiry date: Dec 29, 2034

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q10/1053
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A candidate assessment system reviews gaming data from a plurality of players to determine how well those players fit a particular job opening. The system uses one or more interpretation metrics to derive skill sets for each player by analyzing game attribute data from game scenarios played by the player. Each interpretation metric is generally unique, allowing the candidate assessment engine to derive a player's skill sets in markedly different ways.