Chapel Hill, NC, United States of America

Stephen Mitchell

USPTO Granted Patents = 3 

Average Co-Inventor Count = 5.2

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2021-2024

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Stephen Mitchell: Innovator in Semantic Matching and Skill Adjacencies

Introduction

Stephen Mitchell is a notable inventor based in Chapel Hill, NC (US). He has made significant contributions to the field of machine learning and semantic technology, holding a total of three patents. His work focuses on enhancing the understanding of job titles and skill adjacencies through innovative methods and systems.

Latest Patents

One of Stephen's latest patents is titled "Semantic matching of job titles with limited contexts." This invention provides a method, computer system, and computer program product for semantic matching. It includes pre-processing and normalizing job titles, deconstructing them based on semantic elements, and training a machine learning model. The invention also creates a contextual word representation of job titles and computes similarity scores for each semantic element, applying weights to these scores for final match assessments.

Another significant patent is "Determining skill adjacencies using a machine learning model." This computer-implemented method calculates similarity scores between skill vectors from training datasets and pre-calculated skill category vectors from job requisitions. The computer generates features from these scores and trains a machine learning model to classify combinations of skills as adjacent or non-adjacent. This model is instrumental in determining skill adjacencies between skills from job requisitions and resumes.

Career Highlights

Stephen Mitchell is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore and develop advanced technologies that bridge the gap between job requirements and candidate skills.

Collaborations

Stephen has collaborated with notable coworkers, including David Glenn George and Scott N Gerard. Their combined expertise contributes to the innovative projects they undertake at IBM.

Conclusion

Stephen Mitchell's contributions to semantic matching and skill adjacency determination showcase his innovative spirit and dedication to advancing technology in the job market. His patents reflect a deep understanding of machine learning and its applications in real-world scenarios.

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