This inventor holds 2 USPTO granted patents. Top assignee: Pinterest, Inc.. Active years: 2021-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021-2024
Title: Fei Liu - Innovator in Machine Learning and Localization Technologies
Introduction
Fei Liu is a prominent inventor based in San Francisco, CA, known for his contributions to the field of machine learning and localization technologies. With a total of 2 patents, Liu has made significant strides in developing systems that enhance the way content is localized and presented to users.
Latest Patents
One of Liu's latest patents is focused on "Link localization by country." This patent describes systems and methods that address localization challenges using machine learning models. The technology computes country vectors for each linked content item, allowing for the presentation of content items in response to user requests based on these vectors. For instance, when a user from Country A makes a request, the system processes this request to identify candidate content items and determines Country A as the relevant country. The candidate content items are then evaluated to ascertain their relevance to Country A, with those deemed likely to be relevant being presented to the user.
Career Highlights
Fei Liu is currently employed at Pinterest, Inc., where he applies his expertise in machine learning to improve user experience through innovative localization solutions. His work has positioned him as a key player in the intersection of technology and user engagement.
Collaborations
Liu collaborates with talented individuals such as Siyang Xie and Jun Liu, contributing to a dynamic team focused on advancing localization technologies.
Conclusion
Fei Liu's innovative work in machine learning and localization has the potential to transform how content is delivered to users across different regions. His patents reflect a commitment to enhancing user experience through technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
