Matthew Morehouse

Title: Innovations of Matthew Morehouse

Introduction

Matthew Morehouse is an accomplished inventor based in Lincoln, NE (US). He has made significant contributions to the field of machine learning, particularly in determining skill adjacencies. His innovative approach combines computer science with practical applications in job requisition analysis.

Latest Patents

Matthew holds a patent for a method titled "Determining skill adjacencies using a machine learning model." This invention involves a computer-implemented method, a computer program product, and a computer system designed to calculate similarity scores between skill vectors obtained from training datasets and skill category vectors derived from job requisitions. The process utilizes both a reference corpus word embedding model and a target corpus word embedding model. The computer generates features from these similarity scores and trains a machine learning model to classify skills as adjacent or non-adjacent. This model is instrumental in determining skill adjacencies between skills extracted from job requisitions and resumes. He has 1 patent to his name.

Career Highlights

Matthew is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM allows him to apply his innovative ideas in a corporate environment, contributing to advancements in technology and machine learning.

Collaborations

Matthew has collaborated with notable colleagues, including Stephen Mitchell and David Glenn George. These partnerships have likely enriched his work and fostered a collaborative environment for innovation.

Conclusion

Matthew Morehouse is a notable inventor whose work in machine learning has the potential to transform how skills are assessed in the job market. His contributions to the field are significant and reflect a commitment to innovation and practical application.