San Diego, CA, United States of America

Igor A Podgorny

This inventor holds 84 USPTO granted patents and 4 published patent applications, plus 10 CIPO patents and 1 EPO patent, primarily in User Experience Personalization (CPC class G10L25-63). Top assignee: Intuit, Inc.. Active years: 2011-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Igor A Podgorny. Retrieved from https://idiyas.com/inventor/igor-a-podgorny

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

USPTO Granted Patents = 84 

% Patents Active = 97.6

 

 

Average Co-Inventor Count = 3.4

ph-index = 16

Forward Citations = 884(Granted Patents)

Forward Citations (Not Self Cited) = 586(Dec 10, 2025)


Inventors with similar research interests:

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Location History:

  • Mountain View, CA (US) (2017 - 2023)
  • San Diego, CA (US) (2011 - 2024)

Company Filing History:


Years Active: 2011-2024

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Areas of Expertise:
User Experience
Eye Tracking
Voice of Customer
Personalized Advertisements
Multimodal Information
Search Engine Optimization
Conversational Interfaces
Support Systems
Semantic Graphs
Machine Learning
Question Prioritization
Content Presentation
84 patents (USPTO):Explore Patents

Title: Igor A Podgorny: Pioneering Innovations in San Diego

Introduction:

Driven by an insatiable curiosity and a brilliant mind, Igor A Podgorny, based in San Diego, CA, has garnered an impressive reputation as an inventor and patented numerous groundbreaking technologies. With over 80 patents to his name, Podgorny continues to push the boundaries of innovation within the technology industry. This article will highlight some of his latest patents, career highlights, notable collaborations, and the indelible impact Podgorny is making in the field of technology.

Latest Patents:

Among his latest patents, the following two inventions stand out:

1. Adjusting product surveys based on paralinguistic information:

This patent reveals Podgorny's prowess in the field of artificial intelligence and voice-user interfaces. The invention enables a software application to analyze audio streams, extract paralinguistic features from user utterances, and estimate user attributes based on these features. Using this information, the application customizes survey content for each user, enhancing the accuracy and relevance of the feedback collected.

2. Automated search recipe generation:

This patent showcases Podgorny's expertise in machine learning and search engine technologies. The invention presents a methodology for generating a data set representative of search results based on specific queries and effectively ranking those results. By extracting features from both the query and search results, and incorporating metrics derived from user interactions, Podgorny's technique enables a highly accurate ranking of domain-specific search results.

Career Highlights:

Throughout his illustrious career, Podgorny has been associated with remarkable companies known for driving technological advancements. Notably, he has contributed his expertise to Intuit Inc and IBM (International Business Machines Corporation).

Collaborations:

Podgorny's innovative spirit has also been fostered through collaborations with prominent individuals in the industry. Notable among his coworkers are Benjamin Indyk and Matthew Cannon, who have made significant contributions alongside Podgorny.

Conclusion:

Igor A Podgorny exemplifies the spirit of innovation and ingenuity. With an impressive record of over 80 patents, his contributions to the fields of artificial intelligence, voice-user interfaces, and machine learning have garnered widespread recognition. Through collaborations with esteemed companies and notable coworkers, Podgorny continues to redefine the boundaries of technology and leave an indelible mark on the industry. We eagerly anticipate his future endeavors and the innovative breakthroughs he will undoubtedly contribute to the world of technology.

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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