Automated Keyword Refinement Tool for Search Relevance
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Solution Overview
Problem
Existing keyword suggestion tools often produce overly broad or inapplicable results, making it time-consuming for content providers to refine keywords, especially in automated advertising campaigns where speed and relevance are crucial.
Innovation Solution
An automated keyword refinement tool that receives text input, applies a text reduction function based on term importance scoring, and combines outputs from existing keyword suggestion tools to generate a high-quality keyword set, reducing the need for manual oversight and improving search engine visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing keyword suggestion tools are used to generate keywords from text input, then keyword generation is automated, but the keywords produced are overly broad or inapplicable
Solution Approach 1:
The patent segments the text input into multiple components: it identifies and separates important terms from less important terms, then processes them through different keyword generation paths. This segmentation allows the system to generate keywords from core terms while filtering out irrelevant ones, thereby improving keyword relevance while maintaining automation.
Solution Approach 2:
The patent extracts and removes unnecessary or less important terms from the text input before keyword generation. By taking out irrelevant content and focusing only on the most important terms, the system generates more precise and applicable keywords while maintaining the automated process.
2Manufacturing precision
If manual refinement of keyword results is performed to improve quality, then keyword relevance improves, but time consumption increases significantly
Solution Approach 1:
The patent performs preliminary processing of the text input by automatically identifying and ranking important terms before keyword generation. This preliminary action filters and organizes the input data in advance, so that when keywords are generated and later refined, the process requires minimal manual intervention and time.
Solution Approach 2:
The system performs self-service by automatically generating, filtering, and ranking keywords without requiring extensive manual refinement. The automated keyword generation process inherently produces high-quality results that require minimal human intervention, thereby reducing time loss while maintaining keyword relevance.
3Manufacturing precision
If text input is processed to generate multiple keyword outputs from original and reduced text, then keyword quality improves, but processing complexity increases
Solution Approach 1:
The patent segments the text processing into distinct stages: important term identification, text reduction, and keyword generation from both original and reduced text. This segmentation organizes the complex processing into manageable steps, making the system more maintainable while producing high-quality keyword sets through combination of results.
Solution Approach 2:
The patent merges the keyword outputs from processing both the original text and the reduced text into a single high-quality keyword set. By combining the results from these parallel processing paths, the system achieves improved keyword quality while managing complexity through structured integration of multiple data sources.
Data Source
AI summary
Methods and apparatus for an automated keyword refinement tool for generating an output set of keywords. The keyword refinement tool may utilize or incorporate results from keyword suggestion tools and keyword ranking tools in order to determine a set of keywords that produce better search engine results that if the keyword suggestion tools or keyword ranking tools were utilized individually. The keyword refinement tool may use a variety of methods for determining input to keyword suggestions tools and keyword ranking tools and a variety of methods for combining the results from the keyword suggestion tools and keyword ranking tools.