Company Filing History:
Years Active: 2025
Title: Innovations of Inventor Tong Mu
Introduction
Tong Mu is an accomplished inventor based in Cypress, CA (US). He has made significant contributions to the field of recommendation systems through his innovative patent. His work focuses on enhancing user experiences by utilizing advanced reinforcement learning techniques.
Latest Patents
Tong Mu holds a patent titled "Constraint sampling reinforcement learning for recommendation systems." This patent describes systems and methods for sequential recommendation that receive a user interaction history, including interactions of a user with a plurality of items. The invention selects a constraint from a plurality of candidate constraints based on lifetime values observed for the candidate constraints. These lifetime values are based on items predicted for other users using a recommendation network subject to the candidate constraints. Ultimately, the system predicts the next item for the user based on the user interaction history using the recommendation network subject to the selected constraint. He has 1 patent to his name.
Career Highlights
Tong Mu is currently employed at Adobe, Inc., where he continues to develop innovative solutions in the realm of technology and user interaction. His work at Adobe has allowed him to apply his expertise in reinforcement learning to real-world applications.
Collaborations
Some of his notable coworkers include Georgios Theocharous and David Arbour, who contribute to the collaborative environment at Adobe, fostering innovation and creativity.
Conclusion
Tong Mu's contributions to the field of recommendation systems exemplify the impact of innovative thinking in technology. His patent reflects a commitment to improving user experiences through advanced methodologies.