Location Modeling Using Transaction Data Validation
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Solution Overview
Problem
Existing location-based services face challenges in accurately determining the location of client devices, especially in environments with multiple wireless access points and indoor or underground locations, where GPS signals may be inaccurate or unreliable.
Innovation Solution
The method involves validating candidate location data using transaction data from a transaction data provider, which includes comparing identifiers and signal strengths from client devices to transaction data associated with specific locations, to generate accurate location models for candidate locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS signals are used to determine location, then location determination is simple, but accuracy deteriorates in indoor or underground environments with multiple wireless access points
Solution Approach 1:
The patent uses wireless access point identifiers and signal strengths as intermediary data to validate and refine location estimates. Transaction data serves as a mediator to correlate device identifiers with known location data, enabling accurate indoor positioning without direct GPS signals.
Solution Approach 2:
The patent replaces the GPS satellite-based electromagnetic positioning system with a ground-based wireless infrastructure system. Instead of relying on satellite signals that penetrate poorly through buildings, the system uses local wireless access points and transaction data correlations to determine location.
2Measurement precision
If transaction data validation is implemented, then location accuracy improves, but data processing complexity increases
Solution Approach 1:
The system performs preliminary validation by checking whether candidate location data corresponds to known transaction data before finalizing location determination. This pre-validation step filters out inaccurate location estimates by correlating device identifiers with transaction records in advance.
Solution Approach 2:
The patent implements a feedback mechanism where transaction data validation results are used to confirm or reject candidate location estimates. The system continuously refines location accuracy by comparing predicted locations against validated transaction data, creating a closed-loop verification process.
Data Source
AI summary
Location modeling may be generated for candidate locations based on validated location data. The location models for candidate locations may be based on validated location data associated with wireless access points that is validated using transaction data. Such validation may include comparing an identifier associated with candidate location data received from a client device to an identifier for a transaction account associated with a transaction from transaction data at a candidate location. Matching transaction data and candidate location data may generate validated location data to be used in generating location models for candidate locations.