Dynamic Relevance Adjustment for Adaptive Search Specificity
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Solution Overview
Problem
Current search systems fail to adaptively present narrowed-down search results in accordance with changes in the user's search state, leading to inefficiencies in finding target data, particularly in scenarios where the specificity of search results needs to be adjusted based on user interactions.
Innovation Solution
A search device and method that incorporate a specificity inference mechanism to adjust the relevance level of search results based on user operations, initially providing comprehensive results and gradually increasing accuracy as the search progresses and user feedback indicates narrowing down of search criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If comprehensive search results are provided to ensure high comprehensiveness, then the coverage of search targets is improved, but the user effort to find the target record increases
Solution Approach 1:
The patent applies dynamics by making the relevance level adjustable and changeable based on user operations. The search system transitions from a static relevance level to a dynamic one that adapts to user needs, allowing the comprehensiveness-accuracy balance to shift according to the search state and user feedback
Solution Approach 2:
The patent implements feedback by using user operations (such as selecting records, modifying search conditions, or indicating satisfaction) to infer whether the current search results meet user needs. This feedback loop allows the system to automatically adjust the relevance level, improving comprehensiveness when needed and reducing user effort when the target is found
2Measurement precision
If the relevance level is raised to improve search accuracy, then the precision of search results is improved, but the comprehensiveness of search results deteriorates
Solution Approach 1:
The patent makes the relevance level dynamic rather than fixed. The system can raise the relevance level when accuracy is needed (after user feedback indicates the target is found) and lower it when comprehensiveness is needed (during initial broad searching), allowing the system to adapt to different search phases
Solution Approach 2:
The patent changes the relevance level parameter based on user operations and inferred search state. By adjusting this key parameter, the system transitions between comprehensive results (lower relevance level) and accurate results (higher relevance level), resolving the contradiction between comprehensiveness and accuracy
3Ease of operation
If automated inference of user search state is implemented to adapt search results, then the ease of operation is improved, but the device complexity increases
Solution Approach 1:
The patent implements self-service by enabling the search system to automatically infer user search state and adjust relevance levels without requiring explicit user commands. The system monitors user operations and autonomously determines when to raise or lower the relevance level, improving ease of operation while keeping the complexity hidden from the user
Data Source
AI summary
To provide search results to be presented in accordance with changes in the state of search performed by a user. A search device includes: a search means that searches a storage means storing records for records that match an input search condition to not less than a set relevance level and outputs search results; and a specificity inference means that, when a user operation is input after the search means has output search results corresponding to a first search condition, infers whether or not specificity of the search results is acceptable on the basis of the user operation, and, when the specificity is inferred to be acceptable, raises a relevance level that the search means uses.