Patent Application for Dynamic Content Viewership Alignment
Summary
The USPTO has published a patent application (US20260087451A1) for a system that dynamically aligns content viewership based on aggregate viewer metadata. The application details a method for generating relevancy scores for content within a virtual presentation system.
What changed
This document is a published patent application from the USPTO detailing a novel system for dynamic content viewership alignment. The application, US20260087451A1, outlines a method that reads virtual meeting schedules, captures and aggregates attendee data and content history, and generates relevancy scores for content based on similarity, familiarity, and interaction components. The annotated content is then outputted within the virtual presentation system.
As this is a patent application, it does not impose immediate regulatory obligations or compliance deadlines on businesses. However, entities involved in developing or utilizing virtual meeting platforms, content delivery systems, or data analytics for content personalization may wish to review this application for potential future intellectual property considerations or to understand emerging technological trends in content management and viewer engagement.
Source document (simplified)
DYNAMIC CONTENT VIEWERSHIP ALIGNMENT BASED ON AGGREGATE VIEWER METADATA
Application US20260087451A1 Kind: A1 Mar 26, 2026
Inventors
Jeremy Ray Fox, Melanie Dauber, Zachary Augustus Silverstein, Jacob Ryan Jepperson, Logan Bailey
Abstract
Dynamic updating of content viewership alignment based on aggregate viewer metadata is provided. In some embodiments, a virtual meeting schedule is read. The virtual meeting schedule includes a list of attendees and one or more pieces of content. Attendee data and content history are captured for each attendee based on the list of attendees. The content history is aggregated for the list of attendees. A relevancy score is generated for each of the one or more pieces of content based on the aggregated content history. Generating the relevancy score comprises determining a similarity component between each piece of content and the content history, determining a familiarity component based on each attendee, and an interaction component based on the content history. Each piece of content is annotated according to its relevancy score. The annotated one or more pieces of content are outputted in the virtual presentation system.
CPC Classifications
G06Q 10/10
Filing Date
2024-09-24
Application No.
18894771
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