Listing Change Verification System for Data Accuracy
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Solution Overview
Problem
Publishers face challenges in ensuring the accuracy and timeliness of business listings online, as they may not be aware of errors in business information due to sudden changes, leading to the risk of publishing incorrect information, especially with large databases requiring extensive time for review.
Innovation Solution
A system and method for verifying publisher suggestions by using a suggested change identifier, data consistency analyzer, and updater module to prompt entities for confirmation of suggested changes, allowing entities to control their online presence by accepting or rejecting updates, and ensuring real-time accuracy of listings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If publishers manually review business listings to ensure accuracy, then listing accuracy is improved, but the time and resources required increase significantly
Solution Approach 1:
The system performs preliminary actions by proactively detecting suggested changes to business listings through data consistency analysis before publishers need to review them. The entity is notified and can confirm or reject changes in advance, so when the publisher eventually reviews the listing, the accuracy is already verified, reducing the time and effort required for manual verification.
2Reliability
If publishers review all business listings in their database, then completeness of verification is improved, but the complexity and resources required increase
Solution Approach 1:
The system extracts only the specific listings that have suggested changes from the entire database, rather than requiring publishers to review all listings. The data consistency analyzer identifies and isolates only those entries where information may have changed, allowing publishers to focus their verification efforts on a small subset of relevant listings while maintaining comprehensive verification coverage.
3Device complexity
If publishers wait for entities to alert them of changes, then system simplicity is maintained, but the timeliness of listing updates deteriorates
Solution Approach 1:
The system implements a feedback mechanism where the data consistency analyzer continuously monitors for suggested changes and automatically notifies the entity when changes are detected. This feedback loop ensures that listings are updated promptly when changes occur, rather than waiting for entities to voluntarily alert the publisher, thereby improving update timeliness while maintaining automated simplicity.
4Reliability
If publishers proactively contact entities to verify changes, then listing accuracy is improved, but the time and resources required increase
Solution Approach 1:
The system applies partial action by contacting entities only for specific listings where suggested changes have been detected through data consistency analysis, rather than proactively verifying all listings. This selective approach maintains high listing accuracy for changed entries while preserving overall verification efficiency by avoiding unnecessary contacts for unchanged listings.
Data Source
AI summary
A changed version of first data of a listing associated with an entity provided via a webpage generated by a provider system is identified. The provider system is caused to revert to the first data of the listing associated with the entity. A first communication is transmitted to a client device associated with the entity, wherein the communication identifies the changed version of the first data. In response to receiving an indication from the client device of an acceptance of the changed version of the first data, the changed version of the first data is applied to the provider system.