Transaction Time Prediction Using User Position Matching
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Solution Overview
Problem
Existing transaction classification systems face inaccuracies due to the lack of precise transaction time data, which is often unavailable or incorrect in electronic records, leading to flawed classification and training data.
Innovation Solution
Utilize satellite positioning data to predict the actual transaction time by associating user positions with transaction records, enhancing the classification model's accuracy by incorporating timestamped user location data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If accurate transaction time data is obtained from the bank, then transaction classification accuracy is improved, but cost increases significantly
Solution Approach 1:
The patent introduces positioning data as an intermediary element to indirectly determine transaction time. Instead of directly obtaining expensive accurate transaction time data from the bank, the system uses freely available positioning data from the user's mobile device to infer the transaction time by matching the user's location with the merchant's location. This intermediary approach resolves the contradiction by providing accurate transaction time information without incurring significant additional costs.
2Measurement precision
If transaction time data is manually obtained from the bank for each transaction, then transaction classification accuracy is improved, but productivity decreases
Solution Approach 1:
The patent implements self-service by automatically collecting positioning data from the user's mobile device and using it to determine transaction time. The system processes the positioning data automatically without requiring manual intervention from users to contact the bank for each transaction. This automation resolves the contradiction by maintaining high transaction time accuracy while preserving processing efficiency through bulk automated processing of positioning data.
3Ease of operation
If electronic transaction records are used without accurate timestamps, then ease of operation is maintained, but measurement precision deteriorates
Solution Approach 1:
The patent merges positioning data with electronic transaction records to create enhanced transaction data. The system combines the easily obtainable electronic transaction records with positioning data from the user's mobile device, automatically matching them based on location and time proximity. This merging resolves the contradiction by maintaining the simplicity of electronic record collection while improving transaction time accuracy through the integrated positioning information.
Data Source
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AI summary
Certain aspects of the present disclosure provide techniques for predicting a transaction time based on user position data. In certain aspects, a method for predicting a transaction time based on user position data includes obtaining a transaction record and one or more user positions associated with a user. The method also includes obtaining one or more business records associated with each respective user position. The method further includes calculating one or more similarity scores, where each similarity score is based on a similarity between a respective business record and the transaction record. The method also includes associating the transaction record with a business record based on a maximum similarity score of the one or more similarity scores. The method further includes determining a predicted transaction time for the transaction record based on at least a timestamp of a user position associated with the business record associated with the transaction record.