Indianapolis, IN, United States of America

Matthew Wells

This inventor holds 1 USPTO granted patent. Top assignee: Salesforce, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Matthew Wells. Retrieved from https://idiyas.com/inventor/matthew-wells-bzlmo0lc

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Matthew Wells and His Patent for Automatic Subject Line Generation.

Introduction

Matthew Wells is an inventor associated with Indianapolis, Indiana, and Salesforce, Inc. His work includes a patent describing a machine-learning approach to generating and presenting candidate subject lines.

Latest Patents

Wells is associated with 1 patent: “Techniques for Automatic Subject Line Generation.” The method receives a reference string from a cloud client of a content generation service. A machine-learning model, trained on annotated strings, calculates similarity metrics between the reference string and multiple candidate strings. The system filters the candidates according to those metrics, displays a selected quantity to the client, and receives feedback and a selection from the user.

Career Highlights

Wells’s patent focuses on applying machine learning to assist with subject line creation. By generating and filtering candidate strings and incorporating user feedback, the described method supports an interactive content-generation workflow.

Collaborations

Wells is associated with Salesforce, Inc. His coworker, Vera Serdiukova, is also identified in the provided information.

Conclusion

Matthew Wells’s patent describes a machine-learning system that generates candidate subject lines and refines the user’s choices through feedback.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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