Company Filing History:
Years Active: 2021
Title: Innovations of Daniel Onoro Rubio
Introduction
Daniel Onoro Rubio is an accomplished inventor based in Heidelberg, Germany. He has made significant contributions to the field of recommendation systems, holding a total of 2 patents. His work focuses on enhancing user experience in retail systems through innovative methods and systems.
Latest Patents
Daniel's latest patents include a "Method and system for multimodal recommendations." This patent describes a method for generating product recommendations in a retail system by collecting a dataset of entities and attributes. It involves generating relationships between these entities and storing them in a knowledge graph. The method also incorporates zero-shot learning for new entities, allowing for dynamic updates to the recommendation system. Another notable patent is the "Method and system for combining user, item and review representations for recommender systems." This patent outlines a method for providing recommendations by training a machine learning model using stored data structure triples and actual ratings, ultimately predicting ratings and making informed recommendations.
Career Highlights
Daniel works at NEC Corporation, where he applies his expertise in machine learning and recommendation systems. His innovative approaches have positioned him as a key player in the development of advanced retail solutions.
Collaborations
Daniel collaborates with talented individuals such as Mathias Niepert and Alberto Garcia Duran. Their combined efforts contribute to the advancement of technology in the field of recommendation systems.
Conclusion
Daniel Onoro Rubio's contributions to the field of recommendation systems through his patents and collaborative efforts highlight his role as a leading inventor. His work continues to influence the way users interact with retail systems, paving the way for future innovations.