Data processing: artificial intelligence – Knowledge processing system – Creation or modification
Reexamination Certificate
2007-12-18
2007-12-18
Hirl, Joseph P (Department: 2129)
Data processing: artificial intelligence
Knowledge processing system
Creation or modification
C706S014000, C706S012000
Reexamination Certificate
active
11042544
ABSTRACT:
An automated employee selection system can use a variety of techniques to provide information for assisting in selection of employees. For example, pre-hire and post-hire information can be collected electronically and used to build an artificial-intelligence based model. The model can then be used to predict a desired job performance criterion (e.g., tenure, number of accidents, sales level, or the like) for new applicants. A wide variety of features can be supported, such as electronic reporting. Pre-hire information identified as ineffective can be removed from a collected pre-hire information. For example, ineffective questions can be identified and removed from a job application. New items can be added and their effectiveness tested. As a result, a system can exhibit adaptive learning and maintain or increase effectiveness even under changing conditions.
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Becker Richard W.
Chambless Bjorn
Check Thomas F.
Clainos Deme M.
Eng Maxwell W.
Hirl Joseph P
Klarquist & Sparkman, LLP
Kronos Talent Management Inc.
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