This inventor holds 2 USPTO granted patents. Top assignee: Samsung Electronics Co., Ltd.. Active years: 2022-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2025
Title: Yong Ge - Innovator in Recommendation Systems and Click-Through Rate Prediction
Introduction
Yong Ge is a prominent inventor based in Tucson, AZ (US). He has made significant contributions to the fields of recommendation systems and click-through rate prediction. With a total of 2 patents, his work focuses on enhancing user experience through advanced technological solutions.
Latest Patents
Yong Ge's latest patents include a "System and method for explainable embedding-based recommendation system." This method involves obtaining an interpretation hierarchy generated from a knowledge graph and behavioral data. The electronic device performs graph convolution operations on this hierarchy to create embeddings, which are then used to generate recommendations along with explanations.
Another notable patent is the "System and method for click-through rate prediction." This system is designed to learn dynamic user and advertisement behavior, improving the accuracy of click-through rate predictions. It utilizes a processor to obtain item data, including explicit feedback from user interactions, to generate user response predictions effectively.
Career Highlights
Yong Ge is currently employed at Samsung Electronics Co., Ltd., where he applies his expertise in developing innovative solutions. His work has been instrumental in advancing the capabilities of recommendation systems and predictive analytics.
Collaborations
Yong Ge collaborates with talented individuals such as Xianshan Qu and Li Li, contributing to a dynamic and innovative work environment.
Conclusion
Yong Ge's contributions to technology through his patents and work at Samsung Electronics Co., Ltd. highlight his role as a key innovator in the fields of recommendation systems and click-through rate prediction. His efforts continue to shape the future of user interaction and data analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
