Tag Visualization System for Search Result Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current search engines require users to visually scan lists of text to identify relevant search results, which is inefficient for unstructured and semi-structured content.
Innovation Solution
A method to generate visualizations of tags representing qualifying content instances based on attribute values, using appearance settings that vary according to the determined attribute values, allowing for the creation of display groups that provide a more efficient visualization of search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If search results are presented as a list of text blocks, then the search engine can display all relevant results, but the user must visually scan the list to identify relevant results, reducing user efficiency
Solution Approach 1:
The patent applies color coding to tags based on their importance or relevance to the search query. High-importance tags are displayed in prominent colors (e.g., red or bold), while less important tags use subdued colors. This visual differentiation allows users to quickly identify relevant content without scanning entire text blocks, directly improving user efficiency and ease of identifying relevant results.
Solution Approach 2:
The patent transforms one-dimensional text lists into two-dimensional visual displays with spatial arrangement. Tags are positioned in a grid or cloud layout where their visual weight, size, and position encode relevance information. This dimensional transformation enables parallel visual processing by users, eliminating the need for sequential text scanning and significantly improving identification efficiency.
2Productivity
If visualizations of tags are generated with varied appearance settings, then user efficiency is enhanced through organized presentation, but the complexity of generating and managing appearance settings increases
Solution Approach 1:
The patent automatically adjusts tag appearance parameters (color, size, font weight) based on computed importance scores derived from search relevance algorithms. This automated parameter adjustment eliminates manual configuration complexity while delivering organized, efficient visual presentations. The system dynamically maps importance values to visual parameters, resolving the contradiction between enhanced user efficiency and system complexity.
Solution Approach 2:
The visualization system autonomously generates appearance settings by analyzing tag importance relative to the search query. Rather than requiring users to manually configure display parameters, the system self-adjusts visual properties based on content analysis, thereby enhancing user efficiency without imposing operational complexity on the user.
Data Source
AI summary
Provided is a method for rendering search results. A search request is received having a search criteria to perform with respect to objects having content instances. A determination is made of the objects having qualifying content instances that satisfy the search criteria, an attribute value of the qualifying content instances for a specified attribute, and appearance settings for the qualifying content instances based on the determined attribute values. The appearance settings vary based on the attribute values. Tags are generated indicating the content instances and appearance settings for the content instances. A visualization of the tags in a display group are generated to provide visualization of the qualifying content instances in the objects according to the appearance settings, wherein visualizations of the tags is varied based on the determined appearance settings.