Algorithmic Visual Appeal Ranking for Online Content
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Solution Overview
Problem
Users lack the ability to determine the quality and effectiveness of online content items without designer expertise, as existing methods rely on static templates that do not account for various design elements, and hiring design agencies is often costly.
Innovation Solution
A computer-implemented method and system that stores software algorithms to recognize graphic and textual content parameters, compare them to desired parameters, and rank online content based on these comparisons, using rules programmed with expert knowledge to evaluate the visual appeal and effectiveness of online content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static templates are used to check design quality, then the checking process is simple and fast, but the evaluation does not account for various design elements and lacks accuracy
Solution Approach 1:
The patent replaces manual design review (mechanical human evaluation) with an automated computer-based evaluation system that uses algorithms to analyze design elements, achieving both speed and accuracy through systematic computational assessment of spacing, alignment, color, and other visual parameters
Solution Approach 2:
The system evaluates multiple design parameters simultaneously (spacing between elements, alignment, color schemes, visual hierarchy) rather than relying on a single template metric, allowing comprehensive quality assessment that captures the complexity of effective design while maintaining automated efficiency
2Measurement precision
If design agencies are hired to check quality and effectiveness, then accurate evaluation is achieved, but the cost becomes prohibitively expensive
Solution Approach 1:
The system enables content creators to automatically evaluate and improve their own designs using the automated evaluation tool, eliminating the need to outsource to expensive design agencies while maintaining accurate assessment of design quality and effectiveness
Solution Approach 2:
The patent creates a digital copy of the expert design review process through software algorithms that replicate the evaluation capabilities of professional designers, making expert-level assessment accessible and affordable for all users without requiring actual human experts
3Productivity
If automated content creation is implemented, then productivity increases, but the ability to determine effectiveness is lost without designer expertise
Solution Approach 1:
The system provides automated feedback on generated content by evaluating design elements and effectiveness metrics, enabling users to iteratively improve automatically created content without needing designer expertise by showing specific strengths and weaknesses of each generated item
Data Source
AI summary
A system and a computer-implemented method for automatically determining the visual appeal of online content are provided. The method includes storing a plurality of software implemented algorithms in the memory device, receiving one or more generated items of online content, determining graphics and textual content parameters of the received items of online content, comparing the determined parameters to the set of desired parameters, ranking the items of online content based on the comparisons, and outputting the ranked items of online content. Each algorithm includes one or more rules capable of recognizing graphic content parameters, recognizing textual content parameters, and relating the graphic content parameters and the textual content parameters to a set of desired parameters accessible to the rules.