The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 25, 2011
Filed:
Oct. 08, 2004
David J. Scarborough, West Linn, OR (US);
Bjorn Chambless, Portland, OR (US);
Richard W. Becker, Portland, OR (US);
Thomas F. Check, Beaverton, OR (US);
Deme M. Clainos, Lake Oswego, OR (US);
Maxwell W. Eng, Portland, OR (US);
Joel R. Levy, Portland, OR (US);
Adam N. Mertz, Portland, OR (US);
George E. Paajanen, West Linn, OR (US);
David R. Smith, Beaverton, OR (US);
John R. Smith, Hillsboro, OR (US);
David J. Scarborough, West Linn, OR (US);
Bjorn Chambless, Portland, OR (US);
Richard W. Becker, Portland, OR (US);
Thomas F. Check, Beaverton, OR (US);
Deme M. Clainos, Lake Oswego, OR (US);
Maxwell W. Eng, Portland, OR (US);
Joel R. Levy, Portland, OR (US);
Adam N. Mertz, Portland, OR (US);
George E. Paajanen, West Linn, OR (US);
David R. Smith, Beaverton, OR (US);
John R. Smith, Hillsboro, OR (US);
Kronos Talent Management Inc., Beaverton, OR (US);
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.