San Diego, CA, United States of America

Madelaine Daianu



 

Average Co-Inventor Count = 4.6

ph-index = 2

Forward Citations = 21(Granted Patents)


Company Filing History:


Years Active: 2020-2023

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5 patents (USPTO):Explore Patents

Title: Madelaine Daianu: Innovator in Machine Learning and User Experience

Introduction

Madelaine Daianu is a prominent inventor based in San Diego, CA, known for her contributions to machine learning and personalized user experiences. With a total of 5 patents, she has made significant strides in understanding query intent and complexity, as well as enhancing self-help experiences in online applications.

Latest Patents

One of her latest patents is titled "Determining query intent and complexity using machine learning." This patent outlines techniques for determining user intent and the complexity of text queries. The method involves receiving a text query from a user device, preprocessing it to generate a query vector, and utilizing intent and complexity models to determine the appropriate routing target for the query.

Another notable patent is "Method and apparatus for providing personalized self-help experience." This invention focuses on creating a personalized self-help experience in online applications. It employs a predictive model that learns relationships between user features and tags, generating high-dimensional vectors for questions and returning the most relevant question titles to users based on their input.

Career Highlights

Madelaine currently works at Intuit, Inc., where she applies her expertise in machine learning to develop innovative solutions. Her work has significantly impacted how users interact with technology, making it more intuitive and user-friendly.

Collaborations

Throughout her career, Madelaine has collaborated with talented individuals such as Yao H Morin and Jonathan Lunt, contributing to a dynamic and innovative work environment.

Conclusion

Madelaine Daianu's work exemplifies the intersection of technology and user experience, showcasing her commitment to innovation in the field of machine learning. Her patents reflect her dedication to improving how users engage with digital platforms, making her a notable figure in the tech industry.

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