Graphical Search Interface for Dynamic Parameter Weighting
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Solution Overview
Problem
Current search algorithms face issues such as search output discrepancies, bias, and a mismatch between search interfaces and human heuristic functioning due to inconsistencies in data set curation and parameter weighting, leading to user dissatisfaction and limited diversity in search results.
Innovation Solution
A graphical interface that visualizes and allows users to manually reconfigure search parameter weightings in a multi-dimensional 'search space', enabling intuitive manipulation and integration of intrinsic and extrinsic data sets, with real-time updates and simultaneous examination of multiple data sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional search algorithms use fixed parameter weightings, then search processing is simple and fast, but search output accuracy and alignment with user intentions deteriorates
Solution Approach 1:
The patent transforms the traditional linear search interface into a multi-dimensional graphical search space where parameters are represented as vectors with magnitude and direction. This dimensional transformation allows users to simultaneously adjust multiple parameters in a visual space, improving search accuracy without proportionally increasing interface complexity.
Solution Approach 2:
The search parameter weightings are made dynamic rather than fixed. The system automatically adjusts parameter weightings based on user interactions and search context, allowing the search algorithm to adapt to user intentions in real-time, thereby improving accuracy without requiring complex manual configuration.
2Adaptability or versatility
If search algorithms use multiple data sets with different curations, then search comprehensiveness improves, but search output consistency deteriorates
Solution Approach 1:
The system dynamically changes parameter weightings based on the data sets being searched. By adjusting the importance of different parameters according to the specific data sources and user context, the system maintains consistency across diverse data sets while preserving their unique characteristics and comprehensiveness.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor search results across multiple data sets and automatically adjust parameter weightings to maintain consistency. This feedback loop ensures that searches across diverse curated data sets produce coherent and consistent results while maintaining comprehensive coverage.
3Ease of operation
If search interfaces match human heuristic functioning, then user satisfaction improves, but interface complexity increases
Solution Approach 1:
The graphical search interface automatically performs complex computations and parameter adjustments based on simple user inputs. The system serves itself by interpreting user actions in the graphical space and translating them into appropriate search queries, eliminating the need for users to understand complex search parameters while maintaining ease of operation.
Solution Approach 2:
The graphical search space acts as an intermediary between simple user interactions and complex search algorithm operations. This visual mediator translates intuitive user actions into sophisticated multi-parameter search queries, improving user satisfaction without exposing users to underlying complexity.
Data Source
AI summary
Some embodiments of the present disclosure provide a graphical user interface as a means of inputting search parameters to database search engines. In some embodiments, two or three dimensional projections spatially represent relationships between search parameters, located along the periphery of the projections and search hits whose significance are represented by position relative to the center of the projection and comparative distance from each of the search parameters. As the user manipulates the overall shape of the search projection, the weighting of search parameters adjusts, reconfiguring the search. The present disclosure also provides, in some embodiments, an intuitive means of assimilating search parameter weightings based on peer or social network preferences with global search results.