San Francisco, CA, United States of America

Neil O'hare

This inventor holds 1 USPTO granted patent. Top assignee: Yahoo Assets LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Neil O'hare. Retrieved from https://idiyas.com/inventor/neil-o-hare

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

Calculating rank

Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Neil O’Hare: Inventor in Webpage Classification and Content Delivery.

Introduction

Neil O’Hare is an inventor associated with San Francisco, California. His work includes a patented method and system for classifying webpages and delivering content based on those classifications. He is associated with Yahoo Assets LLC.

Latest Patents

O’Hare is credited with 1 patent: “Method and System for Webpage Classification and Content Delivery.” The invention receives an uncrawled URL and uses a webpage classification model to estimate the likelihood of different classifications. It assigns labels to classifications that meet a specified threshold, then uses those labels to select a content item for display on the webpage.

Career Highlights

The patent reflects work at the intersection of webpage analysis, classification models, and content delivery. By evaluating URLs before a webpage has been crawled, the described system can classify pages and inform content selection.

Collaborations

O’Hare’s listed coworkers include Eric Ye and Xiao Bai. The available information identifies these professional associations but does not specify their individual roles in the patent.

Conclusion

Neil O’Hare’s patent focuses on using webpage classification to guide content delivery, connecting URL analysis with the selection of relevant content.

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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