Review Update System Using Event-Triggered User Contact
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Solution Overview
Problem
Current review and rating systems fail to provide timely updates, leading to the persistence of irrelevant reviews and ratings, which can give users false impressions about businesses, services, or products, affecting decision-making and reputation.
Innovation Solution
A method and system that contact users who submitted original reviews or ratings to update their content based on predefined events such as time passage, changes in the rated content, external circumstances, or user interactions, allowing for the transformation of cumulative scores and ratings to reflect these updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If reviews and ratings are stored permanently in the system, then the system maintains a complete historical record, but the information becomes outdated and irrelevant over time
Solution Approach 1:
The patent implements a dynamic review system where reviews transition from active to archived status based on time elapsed and relevance criteria. The system automatically updates review status and visibility based on changing conditions, making the review lifecycle dynamic rather than static permanent storage.
Solution Approach 2:
The system performs preliminary actions by establishing update triggers and archival criteria in advance. When predefined conditions are met (time thresholds, product version changes, business status changes), the system automatically initiates review updates or archival processes before information becomes completely obsolete.
2Reliability
If the system contacts users frequently to update reviews, then review information remains current, but user experience deteriorates due to excessive communications
Solution Approach 1:
The system implements periodic contact with reviewers based on time intervals and trigger events rather than continuous communication. Reviews are updated at scheduled intervals or when specific events occur (product version releases, business status changes), reducing unnecessary user contacts while maintaining information currency.
Solution Approach 2:
The system uses feedback mechanisms where reviewers are contacted to update their reviews based on system-detected changes. The feedback loop is triggered by objective criteria (time elapsed, product changes) rather than arbitrary schedules, ensuring reviews are updated when actually needed while minimizing user burden.
3Quantity of substance
If all historical reviews are displayed to users, then the system provides comprehensive information, but users receive misleading impressions from outdated content
Solution Approach 1:
The patent applies different quality states to different reviews based on their current relevance. Active reviews that accurately reflect current product/business status are prominently displayed, while archived or outdated reviews are suppressed or marked differently. This local quality differentiation ensures users see primarily relevant information while preserving historical data for reference.
Solution Approach 2:
The system changes the visibility parameter of reviews based on their current validity status. Reviews transition between visible and hidden states based on time thresholds, product version changes, and business status updates. This dynamic parameter adjustment ensures the displayed review set accurately reflects current conditions while maintaining historical records in an archived state.
Data Source
AI summary
A method and system for obtaining review and rating updates within a review and rating system whereby a review and rating system is provided and a given review or rating associated with a given business, service, product, or other content is submitted to the review and rating system. Contact information associated with the user submitting the given review or rating is also obtained and then upon the occurrence of one or more events, the user submitting the original review or rating is contacted and asked to update the original review or rating and/or to provide additional data. Once the user's update to the original review or rating, and/or any additional data, is/are obtained, the given review or rating is transformed to reflect the update to the original review or rating, and/or any additional data.