Company Filing History:
Years Active: 2022
Title: Innovations of Rodrigo Alejandro Acuna Agost
Introduction
Rodrigo Alejandro Acuna Agost is an accomplished inventor based in Golfe Juan, France. He has made significant contributions to the field of machine learning and personalized recommendation systems. His innovative work has led to the development of a patent that enhances user experience in online systems.
Latest Patents
Rodrigo holds a patent for "Recommender systems and methods using cascaded machine learning models." This patent describes computer-implemented methods for providing personalized recommendations to users of items available in an online system. The invention involves computing first-level features based on context data and evaluating a first-level machine learning model to predict user behavior regarding various items. A list of proposed item recommendations is then generated based on these predictions. Additionally, second-level features are computed, and a second-level machine learning model is evaluated to refine the predictions further. Ultimately, a personalized list of item recommendations is provided to the user.
Career Highlights
Rodrigo is currently employed at Amadeus S.A.S., where he applies his expertise in machine learning to develop innovative solutions. His work focuses on enhancing the efficiency and effectiveness of recommendation systems, which are crucial for improving user engagement in digital platforms.
Collaborations
Rodrigo has collaborated with notable colleagues, including Benoit Lardeux and David Renaudie. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.
Conclusion
Rodrigo Alejandro Acuna Agost is a prominent inventor whose work in machine learning and recommendation systems has made a significant impact on the industry. His innovative patent demonstrates his commitment to enhancing user experiences in online environments.