Search Query Segmentation for Faster Web Page Evaluation
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Solution Overview
Problem
Existing methods struggle to quickly and accurately discriminate search queries that contribute to attracting visitors to a website, making it difficult to determine which web pages are suitable for specific search needs and segments.
Innovation Solution
An evaluation support program that classifies search queries into segments and sub-segments based on words, generates display data to show segment classification, and provides evaluation information on web page rankings and click-through numbers, using morpheme dictionaries or artificial intelligence for classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual classification and visual checking of search queries is performed, then evaluation accuracy can be maintained, but time consumption and operational complexity increase significantly
Solution Approach 1:
The patent segments search queries into different categories (informational, navigational, transactional, etc.) and processes them systematically. By dividing the large set of search queries into manageable segments with distinct characteristics, the system can apply automated classification while maintaining evaluation accuracy, thus reducing time consumption without sacrificing precision.
Solution Approach 2:
The patent introduces an automated classification system as an intermediary between raw search query data and evaluation results. This intermediary component automatically categorizes search queries based on predefined criteria, eliminating the need for manual visual inspection while preserving evaluation accuracy, thereby significantly reducing time consumption.
2Productivity
If automated classification of search queries is implemented, then processing speed increases, but classification accuracy and relevance may deteriorate
Solution Approach 1:
The patent performs preliminary actions by pre-defining classification categories, criteria, and rules before processing search queries. This preliminary setup enables the automated system to quickly and accurately classify queries without compromising precision, as the classification framework is already optimized and validated before deployment.
Solution Approach 2:
The patent implements feedback mechanisms where classification results are continuously evaluated and used to refine classification rules. This feedback loop ensures that automated classification maintains high accuracy by learning from actual performance data, thus preserving measurement precision while enjoying the speed benefits of automation.
3Measurement precision
If detailed analysis of each search query is performed, then evaluation precision improves, but operational complexity and resource requirements increase
Solution Approach 1:
The patent segments the analysis process into distinct stages: initial filtering, categorization, and detailed evaluation. By segmenting the workflow, the system performs detailed analysis only on relevant query segments rather than all queries uniformly, thus maintaining evaluation precision while reducing overall operational complexity and resource requirements.
Solution Approach 2:
The patent applies partial analysis action by performing detailed evaluation only on search queries that meet specific criteria or belong to certain categories. Instead of analyzing every query in exhaustive detail, the system applies detailed analysis selectively where it matters most, maintaining precision for critical evaluations while reducing overall operational complexity.
Data Source
AI summary
In evaluating a trend of attracting visitors to a web site or a web page, it is difficult to quickly discriminate a search query group that contributes to attracting visitors and a search query group that does not contribute to attracting visitors for each segment. In addition, when a new web site or web page is constructed, it is difficult to easily grasp to which segment the web page or content should be enriched. Provided is an evaluation support program that causes a computer to function as: search data acquisition means configured to acquire, from a search engine, search data indicating a relationship between a search query including one or more words, a web page included in a search result for each search query, and a display ranking of the web page; classification means configured to classify each search query into any of a plurality of segments based on the one or more words; and display data generation means configured to generate display data for displaying which of the plurality of segments at least a part of the search query is classified into.