Multi-Level Classification Search Query System
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Solution Overview
Problem
Current search methods using keyword inputs are not precise and fail to accurately determine user requirements, leading to poor user experience due to limited dimensionality and inability to combine keywords across different levels of webpages effectively.
Innovation Solution
A method involving a client device that selects a query set from multi-level classification webpages and sends it to a server for search, which queries a reverse index database to provide accurate and sequenced search results, avoiding repeated searches and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If keyword search is used to find resources, then the search process is simple, but the search result precision is poor and it is difficult to determine user requirements accurately
Solution Approach 1:
The patent segments the search process into two distinct modes: classification-based search (for users who don't know what they want) and keyword-based search (for users who know specific terms). This segmentation allows each mode to optimize for its specific use case, resolving the contradiction between simplicity and precision by providing the appropriate search method based on user needs.
Solution Approach 2:
The patent introduces a new dimension to search by adding multi-level classification categories (first-level, second-level, third-level classifications) beyond traditional keyword searching. This dimensional expansion enables users to navigate resources systematically when keywords are insufficient, improving search precision without sacrificing operational simplicity.
2Measurement precision
If combination search with multiple keywords is used, then the search scope is narrowed, but the keywords can be combined only in the same level webpage with single dimension
Solution Approach 1:
The patent extends keyword combination capability across multiple classification levels (first-level, second-level, third-level categories) rather than restricting combinations to the same level. This multi-dimensional combination allows users to search using keywords from different classification hierarchies simultaneously, increasing both search precision and adaptability.
Solution Approach 2:
The search system becomes universal by supporting both classification-based navigation and keyword-based searching within the same interface. The system can handle single-level and multi-level keyword combinations, classification browsing, and hybrid approaches, making it adaptable to various user scenarios while maintaining narrowed search scope through multi-dimensional filtering.
3Measurement precision
If repeated searches are performed to improve accuracy, then the user can refine results, but the search efficiency decreases
Solution Approach 1:
The patent performs preliminary action by pre-establishing multi-level classification structures and organizing resources into hierarchical categories before the user searches. This pre-organization allows the system to quickly narrow down search scopes using classification filters without requiring multiple repeated search iterations, thus improving both accuracy and efficiency simultaneously.
Solution Approach 2:
The system provides feedback mechanisms that allow users to see classification hierarchies and search progress, enabling intelligent refinement without repeated full searches. The feedback loop helps users understand what has already been filtered and guides them to make precise adjustments, reducing redundant search operations while maintaining high accuracy.
Data Source
AI summary
A searching method, a client and a server are provided. The searching method includes: obtaining, at a client device, a query set selected from two or more multi-level classification webpages; sending the query set from the client device to a server; and receiving, at the client device, search results according to the query set from the server.