Denver, CO, United States of America

Bryan Jeffrey Kobler

This inventor holds 2 USPTO granted patents. Top assignee: Verizon Patent and Licensing Inc.. Active years: 2021-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Bryan Jeffrey Kobler. Retrieved from https://idiyas.com/inventor/bryan-jeffrey-kobler

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Bryan Jeffrey Kobler: Inventor of Search Query Parsing Systems.

Introduction

Bryan Jeffrey Kobler is an inventor based in Denver, Colorado. His work includes systems for interpreting search queries and identifying the parameters needed to produce relevant results. He is associated with Verizon Patent and Licensing Inc. and holds 2 patents.

Latest Patents

Kobler’s listed patent, “Methods and Systems for Determining Search Parameters from a Search Query,” describes a query-parsing system that analyzes text entered by a user. The system generates possible interpretations, each containing a candidate “what” portion and a candidate “where” portion.

It scores the candidate interpretations using predefined parsing features and a machine-learning model, then selects the portions of the highest-scoring interpretation as search parameters. The patent describes corresponding methods and systems for carrying out this process.

Career Highlights

Kobler’s patent work focuses on helping search systems interpret user input and extract structured parameters from natural-language queries. This approach can help connect a user’s intended subject and location with more targeted search results.

Collaborations

Kobler is associated with Verizon Patent and Licensing Inc. His listed coworkers include John Coster and Jonathan Harahush.

Conclusion

Bryan Jeffrey Kobler’s patented work addresses the challenge of turning search-query text into useful search parameters through candidate parsing, feature-based scoring, and machine learning.

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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