Portland, OR, United States of America

Richard W Becker

USPTO Granted Patents = 6 

Average Co-Inventor Count = 11.0

ph-index = 6

Forward Citations = 144(Granted Patents)


Company Filing History:


Years Active: 2006-2012

Loading Chart...
6 patents (USPTO):Explore Patents

Title: Innovations by Richard W Becker

Introduction

Richard W Becker is an accomplished inventor based in Portland, OR (US). He holds a total of six patents, showcasing his expertise in developing innovative solutions, particularly in the field of employee selection systems.

Latest Patents

One of Becker's latest patents is for electronic employee selection systems and methods. This automated system utilizes various techniques to assist in the selection of employees. It collects pre-hire and post-hire information electronically to build an artificial intelligence-based model. This model predicts desired job performance criteria, such as tenure, number of accidents, or sales levels for new applicants. The system supports a wide variety of features, including electronic reporting. It can identify and remove ineffective pre-hire information, such as ineffective questions from job applications. New items can be added, and their effectiveness can be tested. As a result, the system exhibits adaptive learning, maintaining or increasing effectiveness even under changing conditions.

Career Highlights

Throughout his career, Richard W Becker has worked with notable companies, including Kronos Talent Management Inc. and Unicru, Inc. His contributions to these organizations have significantly impacted the development of employee selection technologies.

Collaborations

Becker has collaborated with several professionals in his field, including David J Scarborough and Bjorn Chambless. These collaborations have further enhanced his innovative work in employee selection systems.

Conclusion

Richard W Becker's contributions to the field of employee selection through his innovative patents demonstrate his commitment to improving hiring processes. His work continues to influence the way organizations approach employee selection and performance prediction.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…