Dublin, Ireland

Riccardo Mattivi

USPTO Granted Patents = 8 

Average Co-Inventor Count = 3.2

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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8 patents (USPTO):Explore Patents

Title: Riccardo Mattivi: Innovator in Data Processing Technologies

Introduction

Riccardo Mattivi is a prominent inventor based in Dublin, Ireland, known for his contributions to data processing technologies. With a total of eight patents to his name, he has made significant strides in the field of schema matching and document representation.

Latest Patents

Among his latest patents, Riccardo has developed innovative solutions such as "Schema matching of disparate data sources using embedding-based similarity scores." This invention provides methods for schema matching between multiple disparate data sources using multi-dimensional matrices, external embeddings, transformation operations, and similarity metrics. Another notable patent is "Explainable unsupervised vector representation of multi-section documents." This patent outlines methods for generating an inferred document representation for multi-section documents using a machine learning model, enhancing the understanding and processing of complex documents.

Career Highlights

Riccardo has worked with reputable companies, including Optum Services (Ireland) Limited and Optum, Inc. His experience in these organizations has allowed him to apply his innovative ideas in practical settings, contributing to advancements in data processing.

Collaborations

Throughout his career, Riccardo has collaborated with talented individuals such as Ahmed Selim and Houssem Chatbri. These collaborations have fostered a creative environment that has led to the development of groundbreaking technologies.

Conclusion

Riccardo Mattivi's work in the field of data processing technologies showcases his innovative spirit and dedication to advancing the industry. His patents reflect a deep understanding of complex data systems and a commitment to improving how we interact with information.

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