This inventor holds 1 USPTO granted patent. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Years Active: 2026
Title: Yulong Dong and Fairness in Recommendation Systems.
Introduction
Yulong Dong is an inventor based in Los Angeles, California. His patent work addresses fairness measurement in large-scale recommendation systems, particularly when some recommendation labels are missing.
Latest Patents
Dong is associated with 1 patent: “Measuring Fairness in Large-Scale Recommendation Systems with Missing Labels.” The patent describes computer-implemented methods and systems for estimating fairness metrics. One example method gathers data about items recommended to each user by a recommendation model, along with data about items randomly selected for recommendation. It then calculates a fairness metric using both collections of data.
Career Highlights
Dong’s disclosed invention focuses on a practical challenge in evaluating recommendation systems: measuring fairness when complete labels are unavailable. Comparing model-recommended items with randomly selected items provides a basis for estimating fairness under those conditions.
Collaborations
Dong’s listed coworkers include Kun Jin and Xinghai Hu.
Conclusion
Yulong Dong’s patent work contributes a method for estimating fairness in large-scale recommendation systems when labels are missing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile