Content Conditioning and Distribution for Personalized Media Assets
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Solution Overview
Problem
Conventional digital content distribution lacks configuration and customization based on upstream information, resulting in a lack of interactivity and personalized content delivery to end-users.
Innovation Solution
The system enables configuration and customization of digital content by synchronizing media assets across disparate devices, using metadata for categorization and dynamic acquisition from third-party platforms, and leveraging interaction data for personalized content recommendations and advertising.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional replicative distribution is used, then device complexity is reduced, but interactivity and customization capability deteriorate
Solution Approach 1:
The system performs preliminary actions by pre-configuring media assets with metadata, categorization tags, and delivery parameters at the platform level before distribution. This allows end-user devices to receive pre-processed content that can be automatically customized based on user profiles without requiring complex real-time processing at the device level, thus achieving customization while controlling device complexity.
Solution Approach 2:
The patent introduces an intermediary content management system between the distribution platform and end-user devices. This intermediary layer handles the complex tasks of content conditioning, metadata management, and personalized delivery configuration, shielding end-user devices from complexity while enabling sophisticated customization capabilities through the mediating system.
2Measurement precision
If upstream information collection is implemented, then personalization accuracy is improved, but device complexity increases
Solution Approach 1:
The system implements feedback mechanisms where consumption data from end-user devices is collected and transmitted upstream to the platform. The platform processes this feedback information to refine user profiles and improve personalization accuracy. This feedback loop enables precise measurement of consumer behavior while concentrating data processing complexity at the platform level rather than at individual devices.
Solution Approach 2:
The patent shifts the data processing dimension from device-level to platform-level operations. By collecting raw data at devices and performing sophisticated analysis at the central platform, the system achieves high measurement precision through centralized processing while keeping individual device complexity low. This dimensional shift moves computational burden from edge devices to the cloud infrastructure.
3Manufacturing precision
If metadata-based categorization is used, then content delivery precision is improved, but information processing complexity increases
Solution Approach 1:
The system performs preliminary categorization and metadata assignment during content ingestion and preparation phases. Media assets are pre-tagged with comprehensive metadata including content type, target audience, delivery parameters, and associated advertising opportunities. This preliminary action enables precise content configuration and targeted delivery without requiring complex real-time metadata processing at the point of distribution, thus achieving precision while managing complexity.
Data Source
AI summary
Aspects of the disclosure relate to configuration of content and consumption thereof content in a networked environment. In certain aspects, the consumed content can be coordinated or otherwise synchronized between disparate consumption devices, which may be served content via different content platforms. In another aspect, the consumed content can be customized for a specific device and/or an end-user thereof. In yet another aspect, recommendations for content and/or products associated with at least a portion of the content can be provided.