Steven Douglas Moffitt

Title: Innovations of Steven Douglas Moffitt

Introduction

Steven Douglas Moffitt is an accomplished inventor based in Alameda, California. He has made significant contributions to the field of deep learning and product matching technologies. With a total of two patents to his name, Moffitt's work focuses on enhancing the efficiency and accuracy of product matching through innovative methods.

Latest Patents

Moffitt's latest patents include a "Method and non-transitory, computer-readable storage medium for deep learning model based product matching using multi modal data." This patent discloses methods and systems for generating a plurality of matching items that correspond to a reference item. The process begins with determining reference attribute data for the reference item, which is multimodal in nature. A deep learning multimodal matching model is then selected from a range of candidate models. This model utilizes a first deep learning neural network (DLNN) for processing data of one mode and a second DLNN for another mode. The potential matching item is then matched to the reference item using this model, generating a match score based on the reference and potential matching item data.

Another patent, titled "Systems and methods for deep learning model based product matching using multi modal data," outlines a process for generating a list of products that match a reference product. The method begins with receiving a user query and determining multi-modal attribute data for the reference product. A first list of candidate products is created based on a product match signature, followed by generating a second list from the first. A deep learning multi-modal matching model is selected to determine matches for at least one candidate product. The second list is then filtered to remove outliers, resulting in a refined list of matching products.

Career Highlights

Moffitt is currently employed at Price Technologies Inc., where he continues to innovate and develop advanced technologies in product matching. His work has significantly impacted the way products are matched and recommended to users, enhancing user experience and satisfaction.

Collaborations

Moffitt collaborates with Rahul Jain, contributing to the development of cutting-edge technologies in their field. Their partnership exemplifies the importance of teamwork in driving innovation.

Conclusion

Steven Douglas Moffitt is a notable inventor whose work in deep learning and product matching has led to significant advancements in technology. His patents reflect a commitment to improving product matching processes, showcasing his innovative spirit and dedication to his field.