Automated Feedback Validation for Location Data Accuracy
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Solution Overview
Problem
Existing methods for validating user attributes associated with geographical locations, such as hotel amenities, often result in discrepancies between advertised and actual conditions, leading to inaccurate customer expectations and experiences.
Innovation Solution
A system and method that monitors and analyzes Internet searches by comparing user-input attributes with actual location data, using sensors and blockchain for validation, and applies a confidence factor to user attributes based on accuracy, providing a notification to users about the reliability of the information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated feedback validation is implemented to verify user attributes against actual location data, then measurement precision and reliability of user attributes are improved, but device complexity and processing time increase
Solution Approach 1:
The patent introduces an automated feedback validation system that acts as an intermediary between users and location data. This system monitors Internet searches, compares user-provided attributes with actual location data from multiple sources, and validates accuracy without requiring users to directly access complex verification systems. The intermediary handles the complexity of data collection, comparison, and validation internally while providing simple confidence ratings to users.
2Reliability
If Internet search monitoring and analysis is performed to validate user attributes, then reliability of information is improved, but loss of time and processing overhead increase
Solution Approach 1:
The system performs preliminary actions by pre-monitoring and analyzing Internet searches to collect and store actual location data before validation is needed. This includes gathering data from multiple sources such as business directories, maps, and reviews in advance. When validation is required, the system compares user attributes against this pre-collected data, significantly reducing the time needed for actual validation while maintaining high reliability.
3Loss of information
If confidence factors are applied to user attributes based on accuracy verification, then information quality is improved, but device complexity and computational requirements increase
Solution Approach 1:
The patent transforms the complex multi-dimensional validation process into a simplified confidence factor parameter. The system analyzes multiple data sources and discrepancy levels, then converts these complex assessments into a single confidence rating that users can easily understand. This parameter transformation maintains information quality by preserving the nuanced validation results while presenting them in a simplified form that reduces the perceived complexity for end users.
Data Source
AI summary
A method, system, and program product for implementing automated feedback validation is provided. The method includes monitoring an Internet search associated with locating preferred user attributes associated with a specified geographical location. Results of the Internet search are analyzed and the preferred user attributes are verified for accuracy. Discrepancies between the preferred user attributes and attributes associated with the specified geographical location are determined and a resulting a confidence factor is applied to the preferred user attributes with respect to a level of accuracy of the preferred user attributes. A notification indicating a confidence rating applied to the preferred user attributes with respect to the level of accuracy is transmitted to the user.