Company Filing History:
Years Active: 2025
Title: Innovations of Charles Ronald Allieri
Introduction
Charles Ronald Allieri is an accomplished inventor based in Wellesley, MA. He has made significant contributions to the field of network traffic classification, holding two patents that showcase his innovative approach to machine learning and data analysis.
Latest Patents
Allieri's latest patents include a method for machine-learned classification of network traffic. This method involves receiving target input data that includes keyword input data and accessing processed network data that consists of multiple groups. Each group contains a plurality of URL data objects associated with an entity. The process generates a dynamic intent score for each group by extracting keywords from webpages linked to the URL data objects and comparing them with the target input data. The groups are then ranked based on their dynamic intent scores, leading to the creation of a target account list that includes the entities associated with the selected groups. Another patent focuses on classifying network traffic by generating dynamic intent scores for groups based on comparison values derived from URL data objects. This innovative approach enhances the efficiency of network traffic analysis.
Career Highlights
Allieri is currently employed at Intentsify, LLC, where he applies his expertise in machine learning and network analysis. His work has positioned him as a key player in the development of advanced classification methods that leverage data-driven insights.
Collaborations
Throughout his career, Allieri has collaborated with notable colleagues, including Marco Lagi and Vicent Alabau. These partnerships have contributed to the advancement of innovative solutions in the field of network traffic classification.
Conclusion
Charles Ronald Allieri's contributions to the field of network traffic classification through his patents and work at Intentsify, LLC highlight his role as a leading inventor in the industry. His innovative methods continue to shape the future of data analysis and machine learning.