Search Query Functional Keyword Classification
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Solution Overview
Problem
Current internet search services lack the ability to effectively identify and separate functional keywords from non-functional keywords within user search input, leading to inefficient search results and user intent misinterpretation.
Innovation Solution
A method and apparatus that utilize a processor to receive user-defined search input, determine functional keywords associated with search types, generate classification information, and provide search results based on this classification, allowing users to dynamically recognize and flag portions of search input as functional or non-functional keywords.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional search services process user input as a whole without classification, then the search process is simple, but the search result relevance deteriorates due to inability to distinguish functional keywords from non-functional keywords
Solution Approach 1:
The patent segments user search input into functional keywords and non-functional keywords using classification information. The processor divides the search query into distinct components, identifying which parts represent search targets (non-functional keywords) and which parts represent search operations or filters (functional keywords). This segmentation enables precise matching of search intent with relevant results while maintaining manageable processing complexity through systematic classification.
Solution Approach 2:
The patent introduces classification information as an intermediary element between user input and search processing. This classification information acts as a mediator that translates unstructured user queries into structured search parameters, enabling the search system to interpret user intent accurately without requiring complex analysis of the entire query string.
2Loss of information
If the system provides detailed classification information for search input, then user intent identification improves, but the information processing overhead increases
Solution Approach 1:
The patent performs classification of search input as a preliminary action before executing the main search operation. By pre-identifying functional and non-functional keywords and generating classification information in advance, the system prepares structured data that accelerates the subsequent search process. This preliminary classification prevents the need for complex real-time analysis during search execution, reducing overall processing time while maintaining accurate user intent identification.
3Ease of operation
If the search system displays results in traditional formats, then the interface is simple, but user understanding of search target types deteriorates
Solution Approach 1:
The patent applies local quality by displaying classification information specifically at relevant locations in the user interface, such as near the search input box or in result metadata. Rather than uniformly complicating the entire interface, the system selectively presents type indication information where it provides maximum value - helping users understand what they are searching for without cluttering the overall interface design. This localized enhancement maintains ease of operation while improving search target type clarity.
Data Source
AI summary
An approach is provided for search services. User-defined search input is received by at least one processor. At least a portion of the user-defined search input is determined, via the at least one processor, as corresponding to at least one functional keyword associated with a type of object to be searched. Classification information is generated to facilitate identification of the at least one functional keyword among at least one other portion of the user-defined search input. Search information is generated about at least one object relating to at least some of the user-defined search input based on at least some of the classification information.