Bellevue, WA, United States of America

Pascale Queva


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2010

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1 patent (USPTO):Explore Patents

Title: **Pascale Queva: Innovator in Cognitive Relevance Evaluation**

Introduction

Pascale Queva, an inventor based in Bellevue, WA, has made significant contributions to the field of cognitive concept relationships with his innovative technology. With one patent to his name, his work focuses on enhancing relevancy verification processes in various business applications.

Latest Patents

The patent held by Pascale Queva is titled "Data Independent Relevance Evaluation Utilizing Cognitive Concept Relationship." This invention offers a measurable means to assess the relevancy verification process linked to human decision-making. The cognitive concept relationship (CCR) system allows for a relevancy evaluation that remains unaffected by the quality of the test data used for training the relevancy verification algorithm. This innovation is particularly valuable as it facilitates relevancy verification for keyword/item pairs across various business applications, adapting to different relevance standards over time without necessitating manual intervention for data re-labeling or algorithmic relevancy re-measurement.

Career Highlights

Pascale Queva currently works at Microsoft Technology Licensing, LLC, where he leverages his expertise to drive innovations in technology solutions. His role at such a prestigious company highlights his skills and commitment to advancing the industry.

Collaborations

In his career, Pascale has collaborated with esteemed colleagues such as Lee Wang and Ying Li. These partnerships reflect the supportive collaborative environment that fosters innovation and the development of groundbreaking technologies.

Conclusion

Pascale Queva's work exemplifies the ongoing evolution in cognitive evaluation processes, showcasing the potential for innovative technologies to transform business applications. His patent underlines the significance of data-independent methods in relevance verification, paving the way for future advancements in the field.

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