Anna Hammond

Title: Anna Hammond: Innovator in Machine Learning Applications

Introduction

Anna Hammond is a prominent inventor based in Austin, TX (US). She has made significant contributions to the field of machine learning, particularly in the context of web query processing. Her innovative work focuses on enhancing user experience through advanced technology.

Latest Patents

Anna Hammond holds a patent for her invention titled "Utilizing machine learning models to process low-results web queries and generate web item deficiency predictions and corresponding user interfaces." This patent describes methods, systems, and non-transitory computer-readable media that utilize machine learning models to extract digital signals from low-results web queries. The invention aims to generate item demand deficiency predictions for digital item lists corresponding to websites. The deficiency identification system identifies low-results queries submitted by client devices and generates features to predict demand deficiencies. It also utilizes a deficiency prediction model to process extracted signals and generate a deficiency confidence score, which can lead to demand notifications via graphical user interfaces.

Career Highlights

Anna is currently employed at Adobe, Inc., where she applies her expertise in machine learning to develop innovative solutions. Her work has been instrumental in improving the efficiency of web query processing and enhancing user interactions with digital content.

Collaborations

Anna collaborates with talented colleagues, including Irgelkha Mejia and Michele Saad, who contribute to her projects and help drive innovation within the company.

Conclusion

Anna Hammond is a trailblazer in the field of machine learning, with a focus on improving web query processing. Her patent and work at Adobe, Inc. reflect her commitment to innovation and enhancing user experiences in the digital landscape.