USPTO Patent Grant: Interactive Content Feedback System

ChangeBridge: Patent Grants - Business Methods (G06Q)

Published March 24th, 2026

Detected March 25th, 2026

Summary

The USPTO has granted patent US12585697B2 for an interactive content feedback system designed for content creators. This system allows users to provide timestamped feedback on content during playback, which is then analyzed using machine learning to identify audience preferences and generate recommendations.

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What changed

The United States Patent and Trademark Office (USPTO) has granted patent US12585697B2 for an "Interactive content feedback system." This patented technology enables content creators to collect and analyze timestamped user feedback on their content during production and live performances. The system aggregates this feedback, identifies audience preference trends using machine learning, and provides recommendations for content tailoring and delivery. It can integrate with streaming platforms or operate as a standalone application and includes robust security features.

This patent grant is primarily an intellectual property matter and does not impose direct regulatory obligations on businesses. However, companies developing or utilizing similar feedback systems should be aware of this patent to avoid potential infringement. The patent's abstract suggests applications in media production, content streaming, and live performance analysis, potentially impacting technology companies and content creators in these sectors.

Source document (simplified)

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Interactive content feedback system

Grant US12585697B2 Kind: B2 Mar 24, 2026

Inventors

Trent R McKenzie

Abstract

This invention is directed to a tool that enables content creators to collect and analyze feedback on their content during production and live performances. During playback of content, users are enabled to provide detailed feedback and comments via various feedback interfaces on user devices. Users may indicate that they like and dislike certain aspects of the content, such as musical instruments featured in a song, at specific points in time. Feedback is timestamped, transformed into values, and aggregated for review and analysis. Using machine learning techniques, the present invention can identify trends in audience preferences and generate recommendations for tailoring content and content delivery. An interactive display enables the content creator to efficiently manipulate and make sense of collected feedback. With robust security features, the interactive content feedback system described herein may integrate with content streaming platforms as well as operate as an independent application.