Austin, TX, United States of America

Catherine Chiodo


Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):

Title: Catherine Chiodo: Innovator in Machine Learning Applications

Introduction

Catherine Chiodo is a prominent inventor based in Austin, TX, known for her innovative contributions to the field of machine learning. With a focus on enhancing web query processing, she has developed a unique patent that addresses the challenges of low-results web queries. Her work is instrumental in improving user experience and digital item demand predictions.

Latest Patents

Catherine holds a patent titled "Utilizing machine learning models to process low-results web queries and generate web item deficiency predictions and corresponding user interfaces." This patent discloses methods, systems, and non-transitory computer-readable media for utilizing machine learning models to extract digital signals from low-results web queries. The invention generates item demand deficiency predictions for digital item lists corresponding to websites. The deficiency identification system identifies low-results queries submitted by client devices navigating a website. It generates features for the low-results query and the digital item list to produce a deficiency prediction relative to demand indicated by the low-results query. In some embodiments, the system utilizes a deficiency prediction model to process the extracted signals and generate a deficiency confidence score corresponding to the low-results query. Based on this score, the system can generate and provide demand notifications via one or more graphical user interfaces.

Career Highlights

Catherine is currently employed at Adobe, Inc., where she applies her expertise in machine learning to develop innovative solutions. Her work at Adobe has positioned her as a key player in the advancement of technology that enhances user interaction with digital content.

Collaborations

Catherine collaborates with talented individuals such as Irgelkha Mejia and Michele Saad, contributing to a dynamic and innovative work environment. Their combined efforts foster creativity and drive technological advancements within their projects.

Conclusion

Catherine Chiodo's contributions to machine learning and web query processing exemplify her commitment to innovation. Her patent and work at Adobe, Inc. highlight her role as a leading inventor in the tech industry.

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