Link Analysis System for Identifying Incorrect Links
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing website navigation systems fail to accurately identify and correct incorrect links, which can lead to invalid or misplaced resources, affecting website accuracy and usability.
Innovation Solution
A link analysis system employing natural language processing technology to determine the validity and relevance of links by comparing target data with source data, generating notifications for incorrect links, and suggesting corrections based on a web page inventory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional link validation methods are used, then implementation simplicity is maintained, but link accuracy and relevance detection capability deteriorates
Solution Approach 1:
The patent introduces an intermediary link analysis system that acts as a mediator between the website content management system and the web server. This intermediary system performs natural language processing and relevance analysis on links, comparing source data (link context) with target data (linked resource) to determine link correctness. The intermediary approach enables sophisticated link validation without requiring direct modification of existing website infrastructure, thus improving link accuracy while managing system complexity through a dedicated specialized component.
Solution Approach 2:
The patent replaces traditional mechanical/link-based validation methods (simple URL checking, status code verification) with natural language processing and semantic analysis mechanisms. Instead of relying solely on technical link validation, the system uses NLP to analyze the contextual relevance between source and target data, comparing semantic meaning, keywords, and content relationships. This substitution enables the system to detect incorrect links that traditional methods would miss, significantly improving measurement precision.
2Reliability
If comprehensive link analysis is performed, then link correctness is improved, but processing time increases
Solution Approach 1:
The patent implements preliminary action by performing link analysis proactively during website content updates or scheduled maintenance periods, rather than waiting for user reports or experiencing broken links. The system pre-identifies and flags potentially incorrect links before they affect users, allowing website administrators to correct issues in advance. This approach improves link correctness while managing processing time by spreading analysis work over time rather than performing comprehensive real-time analysis on every link click.
Solution Approach 2:
The patent applies partial action by prioritizing analysis of high-impact links (e.g., navigation links, frequently accessed resources, links in critical content sections) while potentially using sampling or reduced-analysis methods for less critical links. The system can adjust the depth of analysis based on link importance, performing full NLP and relevance comparison on critical links while using faster validation methods on less important links. This selective approach maintains high link correctness for critical paths while reducing overall processing time through differentiated analysis intensity.
Data Source
AI summary
A method can include obtaining target data corresponding to a link. The method can include determining, based on the target data, that the link is valid. The method can include obtaining, in response to the determining that the link is valid, source data corresponding to the link. The method can include determining, by comparing the target data to the source data, a degree of relevance between the target data and the source data. The method can include determining, based on the degree of relevance, that the link is incorrect. The method can include generating, in response to the determining that the link is incorrect, a corresponding notification. The method can include initiating a transfer of the notification to a user device.