This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Federal Express Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Sean Livelsberger: Inventor of a Vector-Based Recommendation System.
Introduction
Sean Livelsberger is an inventor associated with Hawthorn Woods, Illinois, and Federal Express Corporation. His patent work describes a machine-learning system designed to generate product recommendations based on a user’s preferences.
Latest Patents
Livelsberger is named on 1 patent, titled “Vector-Based System for Predictive Recommendation Generation.” The invention trains a machine-learning model to predict a seed product for a user and encodes an image of that product as a vector. It then adjusts the vector using information about the user’s preferences and searches product vectors for the closest match. The system can recommend the corresponding product to the user.
Career Highlights
The patent reflects work at the intersection of machine learning, image representation, and personalized product discovery. Livelsberger is associated with Federal Express Corporation.
Collaborations
Jeremy Lerner and Gregory Gandenberger are identified as Livelsberger’s coworkers. Their inclusion here reflects the supplied information and does not establish that they collaborated on this patent.
Conclusion
Sean Livelsberger’s patent describes a preference-aware recommendation approach that uses machine learning and vector similarity to identify products for users.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile