Search Engine Color Synonym Matching via RGB Delta-E Metrics
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Solution Overview
Problem
Search engines often fail to generate accurate results when a user searches for items by color, as they cannot find exact matches for similar color names, leading to incomplete or inaccurate results.
Innovation Solution
A search implementation engine that utilizes a color analysis module and color synonym module to identify and rank items based on perceptually similar colors, using RGB representations and similarity metrics like ΔE to provide comprehensive search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a search engine requires exact color name matches, then search precision is improved, but search completeness deteriorates because similar colors with different names are not retrieved
Solution Approach 1:
The patent transforms color names into standardized color space parameters (RGB, CMYK, HSL values) and uses numerical distance metrics (ΔE) to measure color similarity. This parameter transformation enables the system to quantitatively compare colors and retrieve perceptually similar colors even when their names differ, thus improving search completeness while maintaining color matching precision through mathematical parameter comparison rather than string matching
Solution Approach 2:
The patent introduces color space models (RGB, CMYK, HSL) and similarity metrics (ΔE) as intermediaries between the user's color query and the database of colored items. These intermediaries translate subjective color perceptions and naming variations into objective numerical representations, enabling accurate matching of perceptually similar colors across different naming conventions and improving both search precision and completeness
2Quantity of substance
If a search engine expands to include similar color names, then search completeness is improved, but search precision deteriorates because unrelated colors may be included
Solution Approach 1:
The patent uses numerical color space parameters and calculated similarity scores (ΔE values) to objectively determine color relationships. By transforming color comparisons into mathematical operations on standardized parameters, the system can precisely control which similar colors are retrieved based on configurable similarity thresholds, ensuring that expansion to include more results does not sacrifice precision
Solution Approach 2:
The patent implements a feedback mechanism where color similarity scores are calculated and used to rank and filter search results. The system can adjust the inclusion criteria based on the calculated similarity metrics, providing controlled expansion of search results while maintaining precision through quantitative feedback from the color distance calculations
3Adaptability or versatility
If the system processes multiple color variations, then user satisfaction is improved, but computational complexity increases
Solution Approach 1:
The patent performs preliminary conversion of color names to standardized color space parameters during data ingestion or query processing. By pre-computing and storing color values in standardized formats (RGB, CMYK, HSL), the system avoids repeated complex calculations during search operations, reducing computational complexity while maintaining the ability to process multiple color variations and improve user satisfaction
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution ensures users receive accurate and complete search results by identifying and ranking items based on color similarity, enhancing user satisfaction and search engine effectiveness.
Implementation Method 1
A search implementation engine that utilizes a color analysis module and color synonym module to identify and rank items based on perceptually similar colors, using RGB representations
Implementation Method 2
using RGB representations and similarity metrics like ΔE to provide comprehensive search results
Data Source
AI summary
Example search quality improvement systems and methods are described. In one implementation, a search implementation engine receives a request for an item that includes a first color. The search implementation engine identifies a color representation associated with the first color and determines a second color perceptually similar to the first color based on the color representation. The search implementation engine then identifies an instance of the item having a second color and communicates data associated with the instance of the item to a source of the request.