Automated Web Page Experiment Schema Extraction
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Solution Overview
Problem
Existing methods for testing variations in web page content are inefficient, requiring manual input and verification steps that are prone to errors and inconsistencies, and lack automation in delivering and recording user responses to different content combinations.
Innovation Solution
An automated web page experimentation system that extracts section identifiers from a test web page, allows users to input and store content variations, and delivers these variations to users, recording responses and providing an interface for analysis, thereby reducing manual input and potential errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual input steps are used for entering and verifying web page content variations, then flexibility and control are maintained, but time consumption and error probability increase
Solution Approach 1:
The system automatically extracts section identifiers from the web page code and populates the experiment configuration form without requiring manual data entry. The extraction process self-services the data population task that would otherwise require manual copying and verification, thereby reducing time consumption while maintaining data accuracy through direct code parsing.
Solution Approach 2:
The manual mechanical process of copying section identifiers from code and entering them into the experiment form is replaced by an automated system that programmatically extracts and populates the data. This substitution eliminates manual verification steps and reduces human error while maintaining the same functional outcome.
2Reliability
If manual verification of entered information is performed, then data consistency is improved, but process complexity and time consumption increase
Solution Approach 1:
The system provides automatic feedback by comparing the extracted section identifiers with the experiment configuration, and by tracking user responses to deliver feedback on which content combinations are most effective. This automated feedback loop replaces manual verification while maintaining data consistency through programmatic validation.
Solution Approach 2:
The patent introduces an intermediary automated processing layer between the web page code and the experiment configuration. This intermediary system handles the extraction, validation, and population of data, serving as a mediator that eliminates the need for manual verification while ensuring data consistency through systematic processing.
3Productivity
If automated extraction of section identifiers is implemented, then productivity is improved, but risk of extraction errors increases
Solution Approach 1:
The system performs preliminary validation and error checking during the extraction process itself, identifying and correcting potential extraction errors before they propagate to the experiment configuration. This preliminary action ensures that productivity gains from automation do not compromise extraction accuracy.
Solution Approach 2:
The extraction process includes built-in feedback mechanisms that verify the extracted section identifiers match the expected format and content. Any discrepancies trigger corrective actions or alerts, ensuring that automated extraction maintains high accuracy while delivering productivity improvements.
Data Source
AI summary
Methods, systems and apparatus, including computer program products, for acquiring an experiment schema from a test web page. The test web page is read and parsed to extract a web page experiment schema. The schema can be used by an experimentation system to request corresponding variable content for delivery to web page visitors.