CMS Content Scoring Models for Automated Trustworthiness Management

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing content management systems (CMS) face challenges in maintaining the trustworthiness and credibility of digital content due to the complexity of evaluating numerous factors, the dynamic nature of content relevance, and the overwhelming volume of content, leading to difficulties in ensuring that readers can locate timely and relevant content.

Innovation Solution

A software technology that creates and deploys scoring models to evaluate content based on input variables such as author credibility, user feedback, and content interactions, outputting trustworthiness scores to automate content management and lifecycle decisions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual content management processes are used, then content trustworthiness can be evaluated, but the system becomes inefficient and cannot handle large volumes of content

Engineering Contradiction:

Improvecontent management efficiencyVSAvoidevaluation complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system enables content to be automatically evaluated and managed through AI-powered scoring models that autonomously assess trustworthiness based on multiple input variables, eliminating the need for manual intervention in the evaluation process

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual content evaluation processes are replaced with an automated AI-based scoring system that uses machine learning models to assess content trustworthiness, substituting human judgment with computational algorithms

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Quantity of substance

If content is manually evaluated for trustworthiness, then quality can be maintained, but the volume of content that can be managed is limited

Engineering Contradiction:

Improvecontent volumeVSAvoidtrustworthiness evaluation accuracy

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The automated scoring model continuously evaluates content trustworthiness without human intervention, enabling the system to handle large volumes of content while maintaining consistent evaluation quality through algorithmic decision-making

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system incorporates user feedback as one of the input variables for the scoring model, creating a feedback loop where user interactions with content influence future evaluations and improve the accuracy of trustworthiness assessments over time

Inventive Principle:

Principle #23Feedback

3Adaptability or versatility

If dynamic content relevance is assessed, then content timeliness is improved, but the management process becomes more complex

Engineering Contradiction:

Improvecontent relevance adaptabilityVSAvoidmanagement process complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The scoring model dynamically adjusts content evaluations based on changing input variables such as user feedback, content interactions, and temporal factors, enabling the system to adapt to evolving content relevance without requiring complex manual management processes

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system automatically adjusts evaluation parameters and weighting of input variables based on changing conditions, allowing dynamic assessment of content relevance while maintaining a simplified management process through automated parameter optimization

Inventive Principle:

Principle #35Parameter changes

4Measurement precision

If multiple input variables are used for evaluation, then trustworthiness assessment is more comprehensive, but the system complexity increases

Engineering Contradiction:

Improvetrustworthiness measurement accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The evaluation system is segmented into distinct input variables (content quality, author credibility, user feedback, content interactions) that can be independently collected and processed, allowing comprehensive trustworthiness assessment while maintaining manageable system complexity through modular architecture

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20250217487A1Computer systems and methods for scoring and managing digital content

Publication Date: 2025.07.03 CAPITAL ONE FINANCIAL CORP

AI summary

A computing platform may be installed with software technology for scoring and managing digital content that configures the computing platform to: (i) cause a client device to present a user interface for creating a scoring model for content hosted within a content management system (CMS); (ii) receive data defining a given scoring model that is configured to output a trustworthiness score for a piece of content based on an evaluation of data for a given set of input variables; (iii) use the given scoring model to evaluate a given piece of content hosted within the CMS by (a) obtaining data for the given set of input variables and (b) inputting the obtained data into the scoring model and thereby determine a given trustworthiness score for the given piece of content; and (iv) based on the given trustworthiness score for the given piece of content, manage the given piece of content.