Company Filing History:
Years Active: 2022
Title: Sorathan Chaturapruek: Innovator in Content Recommendation Systems
Introduction
Sorathan Chaturapruek is a notable inventor based in Stanford, CA. He has made significant contributions to the field of content recommendation systems, particularly through his innovative use of reinforcement learning techniques. His work has implications for enhancing user experiences across various digital platforms.
Latest Patents
Chaturapruek holds a patent titled "Recommending sequences of content with bootstrapped reinforcement learning." This patent describes systems and methods for a recommendation system that suggests sequential content. The training of a reinforcement learning (RL) agent is bootstrapped from passive data, allowing for more effective recommendations. The RL agent is trained over multiple epochs, utilizing interactions between the recommendation system and user devices. At each epoch, active data from previous epochs is collected, and transition probabilities are generated from the passive data along with parameters derived from the active data. The recommended content is selected based on the current state and generated transition probabilities, ensuring that the active data is updated based on the recommended content and the resulting new state. A clustering approach can also be employed to balance model expressiveness and data sparsity.
Career Highlights
Chaturapruek is currently employed at Adobe, Inc., where he continues to develop innovative solutions in the realm of content recommendation. His work at Adobe has positioned him as a key player in advancing technology that enhances user engagement and satisfaction.
Collaborations
Throughout his career, Chaturapruek has collaborated with esteemed colleagues, including Georgios Theocharous and Kent Andrew Edmonds. These collaborations have fostered a creative environment that encourages the development of cutting-edge technologies.
Conclusion
Sorathan Chaturapruek's contributions to the field of content recommendation systems exemplify the impact of innovative thinking in technology. His patent and ongoing work at Adobe, Inc. highlight his commitment to enhancing user experiences through advanced methodologies.