Content Channel Generation System for Automated Media Curation
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Solution Overview
Problem
Current media systems, such as broadcast television and online viewing platforms, fail to consistently and predictably provide channels dedicated to specific types of content, leading to user inefficiency in finding relevant content amidst vast and fragmented content libraries.
Innovation Solution
A method for generating content channels that automatically select and present content assets based on user-defined criteria, including references, tags, keywords, and user feedback, allowing for personalized and continuous content delivery without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users manually search for content in vast and fragmented content libraries, then users can find content of interest, but users spend excessive time searching and the experience is active rather than passive
Solution Approach 1:
The system performs self-service by automatically generating content channels based on user profiles and content metadata without requiring manual user intervention. The server autonomously selects, filters, and organizes content assets into channels that are continuously updated and presented to users, eliminating the need for users to actively search through fragmented content libraries.
Solution Approach 2:
The patent introduces an intermediary content channel generation system that acts as a mediator between the vast content library and the user. This intermediary automatically processes content metadata, applies filtering criteria, and presents curated content channels, thereby reducing the time and effort users would otherwise spend searching manually.
2Productivity
If content channels are generated automatically based on criteria, then content selection is efficient and consistent, but the system complexity increases due to multiple services and providers
Solution Approach 1:
The server is designed with multi-functionality to handle content acquisition from multiple services and providers, metadata processing, channel generation, filtering, and continuous updates within a single unified system. This universal approach consolidates what would otherwise be separate complex functions into one cohesive platform, improving efficiency while managing complexity through integration rather than multiplication of systems.
Solution Approach 2:
The system manages complexity by dynamically adjusting parameters such as filtering criteria, content selection weights, and channel generation rules based on user profiles and content metadata. These parameter changes allow the system to adapt to different content sources and user preferences without requiring fundamental structural changes, thereby maintaining efficiency while handling multi-service integration.
3Adaptability or versatility
If content channels provide personalized content delivery, then user satisfaction increases, but the criteria for selection becomes more complex requiring references, tags, keywords, and user feedback
Solution Approach 1:
The system performs preliminary actions by pre-processing content metadata, extracting tags and keywords, and establishing filtering criteria before content channels are generated. User profiles are pre-analyzed and content is pre-filtered based on potential matches, so that when channels are created, the personalization is already partially accomplished. This reduces the complexity of real-time selection by moving preparatory work to earlier stages.
Solution Approach 2:
The system incorporates feedback mechanisms where user interactions with content channels (viewing patterns, selections, preferences) are continuously monitored and fed back into the channel generation process. This feedback loop refines the selection criteria over time, allowing the system to become more accurate in personalization without manually increasing criteria complexity, as the system learns from user behavior.
Data Source
AI summary
An apparatus and method for creating channels dedicated to a particular type of content. The method includes acquiring seed content and using the seed content in the creation or updating of a content list. Additional content for the channel is acquired based on the common features of the content list.