Automated Address Parsing and Candidate Matching for Fast Verification
Find Innovative SolutionsGenerate Solutions
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 that automatically parses unverified addresses into elements, generates a candidate address set, and selects an intended address based on similarity scores, eliminating the need for human verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human verification is used to correct incorrectly entered addresses, then address accuracy is improved, but processing time and operational complexity increase
Solution Approach 1:
The system performs automatic address verification and correction without requiring human intervention. The address verification system independently parses unverified addresses, generates candidate addresses, compares them against verified databases, and selects the intended address automatically, enabling the system to serve itself rather than requiring external human verification
Solution Approach 2:
The manual human verification process is replaced with an automated computational system that uses address parsing, candidate generation, database comparison, and similarity scoring algorithms to perform address verification automatically, substituting mechanical human labor with an automated information processing system
2Reliability
If human verification is required for address correction, then address reliability is improved, but system complexity and operational effort increase
Solution Approach 1:
The address verification process is divided into distinct modular components: address parsing to extract elements, candidate address generation based on parsed elements, verification by comparing candidates against a verified address database, and selection of the intended address. This segmentation allows each component to be independently optimized and managed
Solution Approach 2:
A verified address database serves as an intermediary reference that mediates between unverified user input and the final verified address. The system compares generated candidate addresses against this intermediary database to determine the intended address, providing a reliable reference point without requiring direct human intervention
3Measurement precision
If manual address verification is performed, then accuracy is improved, but productivity decreases
Solution Approach 1:
The system performs preliminary address parsing and candidate generation before verification, preparing the data in advance for efficient comparison against the verified address database. This preliminary processing organizes the information structure to enable faster subsequent verification operations
Solution Approach 2:
Manual verification operations are replaced with automated computational processes that can simultaneously parse multiple addresses, generate candidate sets, compare against the database, and select intended addresses without the time constraints of human processing, dramatically increasing throughput while maintaining accuracy
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.