Product Specific Character String Extraction for E-Commerce Identification
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Solution Overview
Problem
In electronic commerce platforms, it is challenging to uniquely identify products due to inconsistent entry of product information across different sections, making it difficult to specify a character string that uniquely identifies a product.
Innovation Solution
An information processing device extracts pattern matching character strings from product information, determines the string with the smallest number of associated products in a store or store group, and uses this string as a product specific identifier, which can also be combined with other strings to improve specificity and handle variations or typos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If each store enters product information freely without standardized sections, then ease of operation is improved, but manufacturing precision deteriorates
Solution Approach 1:
The system changes the parameter of character string specificity by extracting and evaluating multiple candidate character strings from product information, selecting those with the smallest number of matching products to maximize identification precision while maintaining flexible input
2Manufacturing precision
If standardized product information sections are implemented, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The system performs self-service by automatically extracting candidate character strings from freely entered product information and determining the most specific identifier without requiring manual standardization or complex configuration
Solution Approach 2:
The patent replaces manual standardization processes with automated information processing algorithms that extract and evaluate character strings based on their specificity to identify products
3Measurement precision
If character strings with high specificity are selected, then measurement precision is improved, but loss of information increases
Solution Approach 1:
The system performs preliminary extraction of multiple candidate character strings from product information before selecting the final identifier, preserving information about alternative identifiers for potential future use
Data Source
AI summary
At least one pattern matching character string matching a predetermined pattern is extracted from target product information on a target product in a target store (S11, S12), the number of products in the target store of products hit in a range of product information on products sold in the target store is found, with each pattern matching character string as a search keyword, for each pattern matching character string (S13), and among the one or more pattern matching character strings, a pattern matching character string of which the number of products in the target store is the smallest is determined as a product specific character string for specifying the target product (S15).


