Webpage Zone Identification Correction via Node Clustering
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Solution Overview
Problem
Current web analytics tools fail to accurately account for dynamic web content, leading to misidentifications and errors in webpage zone analysis, resulting in unreliable data and varying analyses across sessions and webpages.
Innovation Solution
A method and system for identifying and correcting webpage zone target misidentifications by clustering webpage nodes based on zoning information, generating correction suggestions for misidentifications, and applying these suggestions to improve zone identification accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated zone analysis is performed on dynamic web content, then zone identification speed is improved, but identification accuracy deteriorates due to layout variations and mischaracterizations
Solution Approach 1:
The system implements feedback by detecting zone target misidentifications through clustering analysis and generating fix suggestions that correct erroneous zone classifications. The feedback loop identifies when dynamic content causes mischaracterizations and automatically corrects them, resolving the accuracy issue while maintaining automated processing speed
Solution Approach 2:
The patent replaces traditional rule-based zone identification mechanics with machine learning-based clustering algorithms. This substitution enables the system to adapt to dynamic web content and layout variations automatically, improving both speed and accuracy by using probabilistic patterns rather than rigid mechanical rules
2Device complexity
If traditional zone analysis methods are used, then processing simplicity is maintained, but reliability deteriorates due to misidentifications and errors in dynamic content
Solution Approach 1:
The system introduces an intermediary clustering analysis layer between traditional zone analysis and final results. This intermediary detects misidentifications by comparing clustered zone patterns against expected targets and generates fix suggestions, thereby improving reliability without fundamentally changing the simplicity of the overall analysis workflow
3Measurement precision
If automated correction is applied to zone misidentifications, then data accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary clustering analysis on zone targets before final identification, pre-detecting potential misidentifications by grouping similar zones. This preliminary action allows corrections to be made more efficiently by identifying errors early in the process rather than after complete analysis, reducing overall processing time while maintaining accuracy
Data Source
AI summary
A system and method for identifying and correcting webpage zone target misidentification are provided. The method includes clustering a plurality of webpage nodes based on at least zoning information derived from a webpage to identify at least two similar webpage node clusters, wherein the clustered webpage nodes are included in the zoning information, and wherein at least two webpage node clusters indicates at least a zone target misidentification; generating at least a zone identification issue fix suggestion for each identified zone target misidentification, wherein a zone identification issue fix suggestion is a suggestion providing a correction for a respective zone target misidentification; and applying each of the generated zone target misidentifications on a respective zone target misidentification.