Webpage Validity Scoring via Thumbnail Analysis
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Solution Overview
Problem
Brand owners face challenges in efficiently and accurately identifying and addressing potential consumer confusion caused by third-party webpages with similar domain names that contain inappropriate or pay-per-click content, due to the time- and cost-intensive nature of manual monitoring.
Innovation Solution
A computer-readable medium with code that calculates a webpage validity score based on content and metadata, generates a thumbnail image, and determines a validity indicator, allowing for automated assessment and reporting of webpage validity, including detection of substantive content and pay-per-click sites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual monitoring of domain names is used to identify problematic webpages, then detection accuracy can be maintained, but time consumption and cost increase significantly
Solution Approach 1:
The system creates a simplified copy or representation of the webpage (thumbnail image) that captures essential visual characteristics without requiring full webpage analysis. This thumbnail copy enables rapid automated comparison and classification of webpages while maintaining sufficient accuracy for detecting problematic content patterns.
Solution Approach 2:
The patent replaces manual mechanical inspection of webpages with an automated computer vision system that uses image processing and machine learning algorithms to analyze webpage thumbnails, calculate validity scores, and classify problematic content automatically.
2Reliability
If comprehensive analysis of all similar domain names is performed, then detection robustness improves, but resource costs increase
Solution Approach 1:
The system performs partial analysis by focusing on the most visually distinctive and informative portions of webpages through thumbnail generation, rather than analyzing entire webpages in detail. This partial action approach maintains detection robustness while significantly reducing computational resources required.
Solution Approach 2:
The patent transforms the analysis from examining raw webpage content (text, HTML structure) to analyzing visual parameters captured in thumbnail images. This parameter change enables more efficient processing while maintaining the ability to detect substantive content versus pay-per-click content through visual pattern recognition.
3Productivity
If automated validation systems are implemented, then processing speed increases, but system complexity increases
Solution Approach 1:
The validation system is divided into distinct functional modules: thumbnail generation module, validity score calculation module, and classification module. Each module performs a specific task independently, which simplifies the overall system architecture while enabling parallel processing and improved productivity.
Solution Approach 2:
The patent introduces thumbnail images as an intermediary representation between the original webpage and the analysis system. This intermediary simplifies the input data structure, making it easier to process and analyze while maintaining the essential information needed for validity determination.
Data Source
AI summary
In one embodiment, a computer-readable medium comprises code representing instructions to cause a processor to receive a fetch response based on a webpage address that may be associated with a webpage. The code can additionally represent instructions to calculate a webpage validity score for the webpage. The validity score can be based on at least one of content or metadata associated with the webpage. The code can also represent instructions to cause the processor to store a thumbnail image of the webpage, along with an indicator of the validity score. The validity indicator can be based on the webpage validity score and a threshold value.