Automated Digital Content Delivery System with Metadata Tagging
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Solution Overview
Problem
Current digital content delivery systems lack efficiency in organizing, analyzing, and securely distributing content to consumers, leading to high costs and reduced consumer satisfaction due to inefficiencies in content production and delivery.
Innovation Solution
A system and method for digital content delivery that includes a content provider that ingests, preprocesses, tags, and publishes content, using metadata to enable user accessibility and analysis, while ensuring security and cost reduction through cloud storage and personalized channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content is delivered through traditional emailboxes and cloud storage systems, then content can be stored and accessed, but the systems lack efficiency in organizing, analyzing, and securely distributing content
Solution Approach 1:
The patent introduces a content delivery system that acts as an intermediary between content sources and consumers. This system automatically ingests content from various sources, processes it through classification and tagging mechanisms, and delivers it to appropriate consumers. The intermediary handles the complexity of content organization and distribution, improving overall productivity without requiring consumers to manually manage content complexity.
Solution Approach 2:
The system performs self-service by automatically ingesting, classifying, tagging, and distributing content without requiring manual intervention from consumers. The automated workflows handle content organization and delivery, reducing the burden on users while maintaining efficient content management processes.
2Ease of manufacture
If content is delivered without automated processing, then simple delivery is maintained, but costs increase and consumer satisfaction decreases due to inefficiencies
Solution Approach 1:
The system maintains continuous automated processing of content through ingestion, classification, tagging, and delivery workflows. This continuous operation eliminates inefficiencies and manual interventions, reducing delivery costs while maintaining streamlined content distribution processes that improve consumer satisfaction.
Solution Approach 2:
The automated self-service mechanism handles content processing and delivery without requiring manual intervention, reducing operational costs while maintaining efficient content distribution. The system manages its own workflows, eliminating the need for expensive manual content organization and delivery processes.
3Productivity
If content is delivered without metadata and classification, then delivery is simple, but user accessibility and analysis are reduced
Solution Approach 1:
The system performs preliminary actions by automatically classifying and tagging content before delivery to consumers. This pre-processing organizes content with relevant metadata, making it easily accessible and analyzable for users. The classification and tagging occur in advance, so users receive pre-organized content that requires minimal additional processing.
Solution Approach 2:
The content delivery system serves as an intermediary that adds metadata and classification layers to content. This intermediary process enriches raw content with organizational information, improving user accessibility and analysis capabilities without requiring users to manually process the content complexity.
4Reliability
If content is delivered without security measures, then delivery is fast and simple, but content security and consumer trust are compromised
Solution Approach 1:
The content delivery system acts as a secure intermediary between content sources and consumers, implementing security measures throughout the content lifecycle. The system manages authentication, authorization, and data protection as part of its core functions, ensuring content security without requiring consumers to implement complex security measures themselves.
Data Source
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AI summary
Methods, apparatus, systems and machine readable medium for the delivery of digital content are disclosed herein. An example method includes receiving a first document from a first document source, classifying the first document with a first tag based on a type of the document, classifying the first document with a second tag based on a first intended recipient, encrypting the first document, publishing the first document for receipt by the first intended recipient, verifying an identity of the first intended recipient and granting the first recipient access to the first document based on the verified identity.