Address Verification Using Similarity Scoring Without Manual Review
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Solution Overview
Problem
Current address verification systems require human intervention for correcting incorrectly entered addresses, leading to inefficiencies and inaccuracies.
Innovation Solution
A method and system for address verification that automatically parses unverified addresses, generates candidate address sets, and selects intended addresses based on similarity scores, eliminating the need for human verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic address correction is implemented, then productivity is improved, but reliability deteriorates due to potential inaccuracies in automated corrections
Solution Approach 1:
The system implements feedback by comparing the unverified address against a verified address database and using similarity scoring to feed back into the correction process. The algorithm continuously refines corrections by evaluating multiple candidate addresses and selecting the best match based on feedback from database comparisons, thereby maintaining high accuracy while achieving automatic correction.
Solution Approach 2:
The system enables self-service by allowing the address verification algorithm to automatically correct addresses without human intervention. The algorithm independently queries the verified address database, generates candidate corrections, and selects the intended address based on similarity scores, making the system self-sufficient while maintaining reliability through automated decision-making.
2Reliability
If human verification is required, then reliability is improved, but productivity deteriorates due to manual intervention
Solution Approach 1:
The system eliminates the need for human verification by implementing self-service functionality where the algorithm automatically queries the verified address database, generates candidate corrections, and selects the intended address based on similarity scoring. This automation maintains reliability while dramatically improving productivity by removing manual intervention bottlenecks.
Solution Approach 2:
The system replaces the mechanical process of human verification with an automated computational algorithm. Instead of manual review and correction by human operators, the system uses automated address parsing, database querying, and similarity-based selection algorithms to achieve both high reliability and improved verification speed.
3Productivity
If automated correction without human verification is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The system manages complexity through segmentation by dividing the address verification process into distinct modules: address parsing, candidate generation, database querying, similarity scoring, and selection. Each module handles a specific aspect of the verification process, making the overall complex system manageable and maintainable while achieving high productivity through automated operation.
Data Source
AI summary
The method for address verification preferably includes: receiving an unverified address; parsing the unverified address into address elements; determining a candidate address set based on the address elements; determining an address comparison set from the verified address database; selecting an intended address from the address comparison set; optionally facilitating use of the intended address; and optionally determining and providing a call to action based on the intended address.