John Oborne

Title: John Oborne: Innovator in Associative Search Methodology

Introduction

John Oborne is an accomplished inventor based in Incline Village, NV (US). He has made significant contributions to the field of search methodologies, particularly through his innovative patent. His work focuses on enhancing the efficiency and accuracy of text searches in databases.

Latest Patents

John Oborne holds a patent for a "Method and system for searching text." This patent presents an associative search methodology that allows users to input words, phrases, entire documents, or technical jargon into the system. The system then searches a database for similar items. It utilizes a self-organizing associative data structure that employs Latent Semantic Analysis (LSA) combined with a Hierarchical Mixture of Experts (HME) neural network learning system. This technology tracks relationships between words and word groupings, as well as user significance feedback, to automatically expand searches. As a result, data elements can be found that cross technological and taxonomic boundaries, leading to improved recall and precision for each user's search.

Career Highlights

Throughout his career, John has demonstrated a commitment to advancing search technology. His innovative approach has positioned him as a notable figure in the field. With a focus on user experience and data retrieval, he has contributed to the development of more effective search systems.

Collaborations

John Oborne has worked alongside David W Russell, collaborating on various projects that aim to enhance search methodologies and technologies.

Conclusion

John Oborne's contributions to the field of associative search methodology highlight his innovative spirit and dedication to improving data retrieval systems. His patent reflects a significant advancement in how users can efficiently search for information across diverse databases.