Search Result Ranking with Certainty Weighting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current search systems struggle to effectively rank search results based on user certainty, leading to overwhelming lists of hits that make it difficult for users to select relevant documents, as they do not consider the user's level of confidence in the search string entries during the input process.
Innovation Solution
The implementation of search result ranking with search string certainty weighting, which analyzes user behavior and input characteristics to assign a certainty level to search string portions, prioritizing results relevant to more certain parts of the search string over less certain parts, using techniques such as keystroke delay analysis and uncertainty gesture detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If comprehensive search results are returned to ensure completeness, then the search coverage is improved, but the user difficulty in selecting relevant documents increases
Solution Approach 1:
The patent segments the comprehensive search results into ranked subsets based on certainty levels. Results are divided into high-certainty matches (closely grouped confidence scores) and lower-certainty matches (more dispersed confidence scores), allowing users to focus on the most relevant portion first while maintaining access to comprehensive results if needed.
Solution Approach 2:
The patent applies local quality by differentiating the presentation and weighting of different portions of search results based on their certainty characteristics. High-certainty results receive prominent positioning and weighting, while lower-certainty results are secondary, allowing each portion of the result set to be optimized for its specific quality characteristic.
2Loss of information
If all search hits are presented to maintain completeness, then the information completeness is improved, but the time required for user examination increases
Solution Approach 1:
The patent performs preliminary action by pre-ranking search results based on certainty analysis before user examination. The system automatically analyzes confidence score dispersion, identifies high-certainty clusters, and positions these results prominently in the presentation, so users do not need to manually examine all results to find relevant information.
Solution Approach 2:
The patent replaces the mechanical manual examination process with an automated certainty-based ranking system. Instead of users manually evaluating each result's relevance, the system substitutes this with automated analysis of confidence score patterns and intelligent repositioning of results based on calculated certainty metrics.
3Ease of operation
If traditional ranking methods are used to simplify result presentation, then the ease of selection is improved, but the relevance accuracy decreases
Solution Approach 1:
The patent changes the ranking parameter from traditional single-metric scoring to a multi-dimensional certainty analysis based on confidence score dispersion patterns. Instead of using a single relevance score, the system analyzes the distribution and clustering of confidence scores across multiple results to identify high-certainty groups, fundamentally changing how relevance is measured and presented.
Data Source
AI summary
Systems, methods, and other embodiments associated with search result ranking with certainty weighting are described. In one embodiment, a method includes receiving a search string being input to a search system to retrieve stored artifacts relevant to the search string. A first certainty level associated with a first portion of the search string is determined and a second certainty level associated with a second portion of the search string is determined. Artifacts retrieved by execution of the search string are ranked to produce a search result. The ranking is based, at least in part, on whether a retrieved artifact is relevant to the first portion or the second portion of the search string.