Context-Dependent Facets for Search Result Refinement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Search engines often return a large number of irrelevant results, making it difficult for users to effectively manage and refine their search outcomes, particularly in tasks like recruiter searches for candidates or researcher searches for literature, where context-specific information is crucial.
Innovation Solution
A system that computes and adds context-dependent facets to search results, allowing users to interactively refine their searches by selecting facets such as talent pools, affiliations, and time-in-position metrics, which are calculated using machine learning mechanisms and presented in a user-friendly interface without altering the underlying data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If search engines return comprehensive results based on query matching, then the quantity of search results increases, but the relevance and usefulness of results deteriorates due to inclusion of irrelevant data
Solution Approach 1:
The patent segments search results by computing context-dependent facets that divide the result set into meaningful categories (e.g., talent pools, affiliations, time-in-position). This segmentation allows users to navigate through large result sets by focusing on specific contextual dimensions, thereby maintaining result quantity while improving perceived relevance through organized presentation.
Solution Approach 2:
The patent adds contextual dimensions to search results by computing facets such as talent pools, affiliations, and time-in-position metrics. These additional dimensions allow users to refine searches without changing the underlying data, effectively adding layers of organization that improve result relevance while preserving the comprehensive nature of the original search.
2Measurement precision
If users manually refine search results through multiple queries, then the precision of search outcomes improves, but the time required for search increases significantly
Solution Approach 1:
The patent performs preliminary computation of context-dependent facets along with the main search query execution. By pre-computing facets such as talent pools, affiliations, and time-in-position metrics during the initial search phase, the system eliminates the need for users to perform multiple sequential queries to obtain refined results, thereby reducing search time while maintaining precision.
Solution Approach 2:
The patent implements interactive facet selection that provides immediate feedback to users. When users select specific facet values (e.g., filtering by talent pool or affiliation), the system instantly refines the search results based on those selections, eliminating the need for users to formulate and execute multiple separate queries to achieve the same refinement.
3Ease of operation
If search systems provide context-specific refinement options, then the ease of operation improves, but the device complexity increases due to additional computation and interface elements
Solution Approach 1:
The patent implements a universal facet computation framework that can handle multiple types of context-dependent facets (talent pools, affiliations, time-in-position, etc.) through a single computational mechanism. This multi-functional approach allows the system to provide diverse refinement options without proportionally increasing complexity, as the same underlying infrastructure supports multiple facet types.
Solution Approach 2:
The patent enables the search system to automatically compute and present context-dependent facets without requiring user intervention to specify what refinements are needed. The system self-determines relevant contextual dimensions based on the search query and data characteristics, then presents these facets for user selection, thereby simplifying the user interface while managing computational complexity through automated decision-making.
Data Source
AI summary
System and techniques for search result refinement are described herein. Search results and a search context may be obtained. A context dependent facet set may be added to a search result in the search results. A user interface of the context dependent facet set may be presented in conjunction with displaying the search results. A selection of a facet in the context dependent facet set may be received from a user. The search results being displayed may be filtered such that search results that meet a measurement of the facet are included in the displayed search results and the remaining search results are excluded from the display.