Automatic Query Matching System for Shopping Mall Product Registration
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Solution Overview
Problem
Current shopping mall relay services face inefficiencies in product registration and matching due to manual operations, limited resources, and inaccuracies in database search systems, particularly when handling incorrect product names, mistyped characters, and Hangul product names, leading to increased system resource consumption and reduced reliability.
Innovation Solution
An automatic matching method and system that automates category and query matching by processing queries through various search logics, excluding stopwords, and recommending categories based on cleaned queries to improve accuracy and reduce manual operations, thereby enhancing resource utilization and search result relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual product registration and matching operations are performed, then product information can be registered in the shopping mall relay server, but the process consumes excessive time and operational resources
Solution Approach 1:
The system enables automatic self-service for product registration and matching. The shopping mall relay server automatically receives product information from shopping mall servers, performs category matching using the category matcher, and registers products without requiring manual department section operations. This automation resolves the contradiction by making the system serve itself, eliminating time loss while maintaining reliability through systematic processing
Solution Approach 2:
The patent replaces the mechanical manual operation system with an automated information processing system. The category matcher uses search logic to automatically match product model names with categories, substituting human manual matching operations with computational processes. This substitution dramatically reduces registration time while maintaining or improving matching accuracy through consistent algorithmic application
2Reliability
If the database search system searches all categories for a desired product model, then complete search coverage is achieved, but system resources are consumed excessively
Solution Approach 1:
The patent segments the search process into two stages: first, the category matcher narrows down the search scope by automatically identifying and matching the product's category; second, the database search system searches only within the matched category rather than all categories. This segmentation maintains search result completeness by ensuring the correct category is targeted while dramatically reducing system resource consumption by limiting the search scope to relevant categories only
Solution Approach 2:
The category matcher performs preliminary action by pre-identifying and matching the product category before the database search is executed. This preliminary categorization step filters out irrelevant categories in advance, allowing the subsequent database search to operate efficiently within a narrowed scope. The preliminary action ensures no relevant results are missed while minimizing resource consumption during the actual search phase
3Measurement precision
If the general database search system is used, then only search results that accurately include the original query are output, but it cannot handle incorrect product names, mistyped characters, or Hangul product names effectively
Solution Approach 1:
The patent introduces dynamic adaptability into the search system. The category matcher dynamically adjusts its search strategy based on the input query characteristics, applying different search logics as needed. This dynamic approach allows the system to maintain high accuracy for correct queries while adapting to handle incorrect product names, mistyped characters, and Hangul product names, thereby resolving the contradiction between precision and versatility
Solution Approach 2:
The system changes search parameters and processing methods based on the query type and characteristics. When handling different product name formats (including Hangul) or detecting potential errors, the category matcher adjusts its matching parameters and applies appropriate search logics. This parameter flexibility allows the system to maintain accuracy while becoming versatile enough to handle various query formats and error conditions
Data Source
AI summary
An automatic matching method and system which can initially automatically match a category and an original query, and then perform a search within a designated category when matching a subsequent query, and thereby enable a more accurate query matching is provided. According to the present invention, there is provided an automatic matching method and system which can automatically match a category and an original query prior to matching a query and thereby can more exactly match the query within a designated category.