Anomalous Content Marking for Threshold-Based Learning Archiving

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Solution Overview

Problem

Conventional learning management systems face inefficiencies due to the storage of outdated or irrelevant content, leading to wasteful use of resources and user frustration, as they lack automated mechanisms for identifying and removing anomalous content.

Innovation Solution

A system that allows users to mark anomalous content through a user interface, aggregates feedback, and determines a content marking ratio to automate the archiving or updating of content based on thresholds, reducing storage waste and improving resource utilization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If learning content is continuously stored in the database, then content availability is maintained, but storage waste increases due to outdated or irrelevant content

Engineering Contradiction:

Improvestorage capacity utilizationVSAvoidstorage waste

Core Design Contradiction:

Quantity of substanceVSLoss of substance

Solution Approach 1:

The system performs preliminary actions by continuously monitoring content metrics (view counts, user interactions, recency) and proactively identifying outdated content before it significantly degrades user experience. Content is flagged for archiving based on predetermined thresholds being met, preventing storage waste before it occurs.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by tracking user interactions with learning content and using this data to automatically determine which content should be archived. The feedback loop continuously evaluates content relevance based on view counts, user completions, and other engagement metrics, dynamically adjusting the content library to maintain quality while reducing storage waste.

Inventive Principle:

Principle #23Feedback

2Reliability

If manual review of learning content is performed, then content quality can be maintained, but system complexity and operational overhead increase

Engineering Contradiction:

Improvecontent qualityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system performs self-service by automatically monitoring its own content library using predefined criteria and thresholds. It autonomously identifies outdated content based on tracked metrics such as view counts, user interactions, and content recency, eliminating the need for complex manual review processes while maintaining content quality through objective, data-driven decisions.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system manages content quality by dynamically changing parameters such as view count thresholds, recency thresholds, and interaction frequency requirements. These adjustable parameters allow the system to adapt to different quality standards and organizational needs without increasing operational complexity, as the same automated framework handles varying quality requirements through parameter adjustment rather than process redesign.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If automated content archiving is implemented, then storage efficiency improves, but risk of removing relevant content increases

Engineering Contradiction:

Improvestorage efficiencyVSAvoidcontent relevance

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system applies partial action by using multiple complementary criteria (view counts, user interactions, content recency) rather than relying on a single threshold. This multi-factor approach ensures that content is only archived when it fails to meet standards across multiple dimensions, reducing the risk of incorrectly removing relevant content while still achieving storage efficiency through systematic evaluation of numerous content items.

Inventive Principle:

Principle #16Partial or excessive action

4Reliability

If content is frequently updated, then content relevance is maintained, but resource consumption and processing overhead increase

Engineering Contradiction:

Improvecontent relevanceVSAvoidresource consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system implements periodic action by continuously monitoring content metrics and automatically archiving outdated content based on predetermined thresholds. This ongoing, automated process maintains content relevance without requiring frequent manual updates, as the system periodically evaluates and removes obsolete content, reducing the need for resource-intensive content creation and management activities.

Inventive Principle:

Principle #19Periodic action

Data Source

PatentUS12367753B1Anomalous content marking and determination

Publication Date: 2025.07.22 AMAZON TECH INC

AI summary

Described herein is a computer-implemented method for techniques relating to anomalous content marking and determination. A content marking request of anomalous content can be received by a computer system. A content marking count associated with the content can be determined for the content. A content marking ratio can be determined based on the content marking count. A parameter indicative of the anomalous status of the content can be determined based on the content marking count and/or content marking ratio, and the parameter can be compared to a threshold parameter. Alerts of anomalous content can be delivered at the user device based on the content marking count, the content marking ratio, the parameter or the comparison result between the parameter and the threshold parameter.