Company Filing History:
Years Active: 2022-2025
Title: Jiajing Xu: Innovator in Machine Learning and Advertisement Diversity
Introduction
Jiajing Xu is a prominent inventor based in Palo Alto, CA, known for her contributions to machine learning and advertisement technologies. With a total of 3 patents, she has made significant strides in enhancing the efficiency and effectiveness of machine learning models.
Latest Patents
One of her latest patents focuses on the accelerated training of a machine learning model. This patent presents systems and methods for training a second machine learning model based on aspects of a trained first machine learning model. The process involves identifying processing features utilized by a training framework to train the first model, combining these features with an initial set of training features, and presenting the updated features to users for customization. This results in a tailored training framework that enhances the training of the second machine learning model.
Another notable patent addresses systems and methods for determining a diversity penalty in selecting advertisement content. This innovation facilitates the presentation of diverse advertisements to users by determining a diversity function that ranks potential advertisements. The diversity function incorporates a repetition score and a multiplier for each advertisement, ensuring a varied and engaging user experience.
Career Highlights
Jiajing Xu is currently employed at Pinterest, Inc., where she applies her expertise in machine learning and advertisement technologies. Her work has significantly contributed to the company's innovative approaches in these fields.
Collaborations
Throughout her career, Jiajing has collaborated with talented individuals such as Andrei Curelea and Ashim Datta, enhancing her projects with diverse perspectives and expertise.
Conclusion
Jiajing Xu's innovative work in machine learning and advertisement diversity showcases her commitment to advancing technology. Her patents reflect her ability to address complex challenges in these domains, making her a valuable contributor to the field.