Search Precision Control Using Adaptive Query Parameters
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Solution Overview
Problem
Current search systems lack the ability to control the precision and range of search results effectively, failing to provide administrators with the necessary tools to adjust parameters for desired levels of accuracy and relevance.
Innovation Solution
A method and system that allows administrators to set precision levels for search queries through a user interface or API, adjusting search engine parameters to return results that match the specified precision, and utilizes machine learning to determine optimal precision levels based on user interactions and responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search parameters are adjusted to increase precision, then search result accuracy improves, but the range and quantity of results decreases
Solution Approach 1:
The patent implements dynamic adjustment of search parameters based on user input and contextual analysis. The system modifies precision parameters in real-time during search execution, allowing the same search query to return different result sets based on desired precision levels. This resolves the contradiction by making the system adaptable rather than fixed, enabling users to balance precision and quantity as needed.
Solution Approach 2:
The patent directly applies parameter changes to control search precision. By accepting user input that specifies desired precision levels and translating this into modified search parameters, the system can adjust the trade-off between result accuracy and quantity. Different parameter configurations enable the same search engine to return either high-precision limited results or lower-precision extensive results based on user needs.
2Measurement precision
If search parameters are customized for different queries, then search accuracy improves, but system complexity increases
Solution Approach 1:
The patent segments the search parameter control into distinct, manageable components. Different parameter sets are defined for different precision levels, and the system selects appropriate segments based on user input. This modular approach to parameter management reduces overall system complexity by organizing controls into discrete, reusable units rather than requiring complex custom configuration for each query.
Solution Approach 2:
The patent creates a universal parameter control mechanism that handles multiple search scenarios through a single interface. The same user input mechanism and parameter adjustment logic serve various search queries and precision requirements, eliminating the need for separate control systems for different query types. This multi-functional approach reduces complexity while maintaining customized accuracy.
Data Source
AI summary
Provided are methods and systems for controlling precision of searches. An example method includes receiving, via a user interface associated with a search engine, user input indicating a search precision level, and setting, based on the search precision level, parameters of the search engine to cause the search engine to return, in a response to a search query, search results having the search precision level. The method includes collecting statistical data including a value of the search precision level, a number of executions of the search query by the search adjusted based on the value of the search precision level, and a number of user reactions to results of the executions of the search query. The method includes determining, based on the statistical data, an optimal value of the search precision level for the search query.