Cary, NC, United States of America

David Glenn George

USPTO Granted Patents = 5 

Average Co-Inventor Count = 3.8

ph-index = 2

Forward Citations = 66(Granted Patents)


Company Filing History:


Years Active: 1998-2024

where 'Filed Patents' based on already Granted Patents

5 patents (USPTO):

Title: David Glenn George: Innovator in Semantic Technology

Introduction: David Glenn George is an accomplished inventor based in Cary, North Carolina, whose work has significantly contributed to the advancement of semantic technology. With a total of five patents to his name, George is recognized for his innovative approach to matching job titles and determining skill adjacencies using machine learning techniques.

Latest Patents: Among his latest contributions, George has developed a patent titled "Semantic matching of job titles with limited contexts." This invention presents a method, computer system, and computer program product geared towards enhancing semantic matching. The process includes pre-processing and normalizing job titles, deconstructing them based on semantic elements, and utilizing machine learning to create a contextual word representation. Furthermore, the invention computes similarity scores for each semantic element, ultimately applying a weight to these scores for final match assessment.

Another notable patent by George is "Determining skill adjacencies using a machine learning model." This computer-implemented method involves calculating similarity scores between skill vectors and predefined skill category vectors derived from job requisitions. By generating features from these scores, George trains a machine learning model to classify skills as adjacent or non-adjacent. This innovative approach assists in determining skill adjacencies between those extracted from job requisitions and resumes.

Career Highlights: David Glenn George is a key player in the technology sector, working for the International Business Machines Corporation (IBM), a renowned leader in information technology and consulting services. His efforts in developing machine learning models and semantic technologies have positioned him as a valuable asset within the company.

Collaborations: Throughout his career, George has collaborated with other talented individuals, including coworkers John Arthur Medicke and Stephen Mitchell, contributing to the development of innovative solutions in the realm of semantic technology and machine learning.

Conclusion: David Glenn George stands out as an inventor making significant strides in semantic matching and skill adjacency determination. His five patents reflect his dedication to harnessing technology for enhanced decision-making processes in human resources, positioning him as an influential figure in the landscape of modern innovations.

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