San Francisco, CA, United States of America

Dawn-Marie Chantel Miesner


Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Dawn-Marie Chantel Miesner: Innovator in Contextual Bandits-Based Ecosystem Recommender Systems

Introduction

Dawn-Marie Chantel Miesner is a notable inventor based in San Francisco, CA. She has made significant contributions to the field of machine learning, particularly in developing systems that enhance user personalization through innovative technologies.

Latest Patents

Miesner holds a patent for a "Contextual bandits-based ecosystem recommender system for synchronized personalization." This patent describes systems and methods directed to a contextual bandits machine learning model. The model is designed to enable granular synchronized ecosystem personalization and optimization. It determines an objective and utilizes lifecycle model propensity scores as inputs to generate potential weighted model rewards. Each reward includes a desired user action, a weight, a channel, and an expected change to the objective. The model selects a weighted reward that optimizes the objective and transmits an action recommendation to a user device based on this reward. Feedback from the action recommendation is collected to train and fine-tune the model.

Career Highlights

Miesner is currently employed at Intuit, Inc., where she applies her expertise in machine learning and personalization technologies. Her work focuses on creating systems that improve user experiences through advanced algorithms and data analysis.

Collaborations

Some of her notable coworkers include Yashwanth Musiboyina and Mustapha Harb, who collaborate with her on various projects at Intuit, Inc.

Conclusion

Dawn-Marie Chantel Miesner is a pioneering inventor whose work in contextual bandits-based systems is shaping the future of personalized technology. Her contributions are significant in advancing machine learning applications for user optimization.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…