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For the Inventor, By the Inventor

Endicott, NY, United States of America

Steven Michael Pritko

This inventor holds 18 USPTO granted patents and 1 published patent application, plus 1 CIPO patent, primarily in Machine Learning Applications. Top assignee: International Business Machines Corporation. Active years: 1998-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Steven Michael Pritko. Retrieved from https://idiyas.com/inventor/steven-michael-pritko

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

USPTO Granted Patents = 18 

% Patents Active = 72.2


Average Co-Inventor Count = 3.5

ph-index = 10

Forward Citations = 541(Granted Patents)


Location History:

  • Endicott, NY (US) (1998 - 2016)
  • Durham, NC (US) (2018)
  • Pittsburg, PA (US) (2020)
  • Apex, NC (US) (2020)
  • Pittsburgh, PA (US) (2021 - 2023)

Company Filing History:

goldMedal18 out of 166,409 
 
International Business Machines Corporation
 patents

Years Active: 1998-2023

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Areas of Expertise:
Machine Learning
Natural Language Processing
Document Summarization
Text Clustering
User Interaction
Data Transfer
Audio-Visual Synchronization
State Information Sharing
Topical User Click Data
Program Updates
Dynamic Inheritance
HTML Interaction
18 patents (USPTO):Explore Patents
1. 11816184 - Ordering presentation of training documents for machine learning (2023-11-14),
2. 10885281 - Natural language document summarization using hyperbolic embeddings (2021-01-05),
3. 10726061 - Identifying text for labeling utilizing topic modeling-based text clustering (2020-07-28),
4. 10592568 - Returning search results utilizing topical user click data when search queries are dissimilar (2020-03-17),
5. 10558687 - Returning search results utilizing topical user click data when search queries are dissimilar (2020-02-11),
6. 9928228 - Audible presentation and verbal interaction of HTML-like form constructs (2018-03-27),
7. 9256854 - Audible presentation and verbal interaction of HTML-like form constructs (2016-02-09),
8. 7895125 - Method, system and program products for sharing state information across domains (2011-02-22),
9. 7406657 - Audible presentation and verbal interaction of HTML-like form constructs (2008-07-29),
10. 7302402 - Method, system and program products for sharing state information across domains (2007-11-27),
11. 6823457 - Method and system for verifying control accesses between a device on a non-proprietary bus and a device on a proprietary bus (2004-11-23),
12. 6745163 - Method and system for synchronizing audio and visual presentation in a multi-modal content renderer (2004-06-01),
13. 6549972 - Method and system for providing control accesses between a device on a non-proprietary bus and a device on a proprietary bus (2003-04-15),
14. 6345314 - Technique to minimize data transfer between two computers (2002-02-05),
15. 6178471 - Method of sharing buffers for the streaming of unchanged data (2001-01-23),

Title: Innovations by Steven Michael Pritko: A Journey Through Patents and Collaborations

Introduction: Steven Michael Pritko, an accomplished inventor based in Endicott, NY, possesses an impressive portfolio of 18 patents. His work primarily focuses on enhancing machine learning and natural language processing, showcasing his deep understanding of technology and its applications. This article delves into his latest patents, career highlights, and collaborations with fellow innovators.

Latest Patents: Steven's most recent patents demonstrate his expertise in machine learning and natural language processing. One of his latest innovations, "Ordering presentation of training documents for machine learning," outlines a method whereby processors calculate the similarity between pairs of document pages, ultimately determining a document similarity value based on preset criteria. This innovation revolutionizes the way training documents are organized and presented.

Another significant contribution is his patent on "Natural language document summarization using hyperbolic embeddings." This mechanism employs hyperbolic embeddings to summarize natural language documents in response to user queries. By comparing query embeddings with sentence embeddings from the document, the summarization mechanism identifies specific sentences that contribute meaningfully to the summary. This technology adds a new dimension to efficient document understanding and retrieval.

Career Highlights: Steven Michael Pritko currently serves as an inventor at International Business Machines Corporation (IBM), a leading name in technology and innovation. Over the years, he has built a remarkable career characterized by a commitment to pushing the boundaries of machine learning and artificial intelligence. His contributions have resulted in tangible advancements in these fields.

Collaborations: Throughout his career, Steven has had the opportunity to collaborate with talented individuals, including coworkers Michael J. Howland and Patrick Joseph Callaghan. These collaborations have undoubtedly enriched his work and contributed to the success of various projects and patents.

Conclusion: Steven Michael Pritko stands as a notable figure in the realm of innovations, with a profound impact on machine learning and natural language processing. His 18 patents reflect his dedication to advancing technology for practical applications. As he continues to collaborate and innovate, the tech community eagerly anticipates his future contributions and the ways they will shape the landscape of artificial intelligence.

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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