Search Path Visualization With Keyword Clustering for Search Intent
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Solution Overview
Problem
Existing SEO methods struggle to visualize the connection between keywords and determine the search intention of users, making it difficult to identify how potential customers reach target keywords and understand competitor searches or needs.
Innovation Solution
A visualization tool that displays a search path connecting previous and subsequent keywords to a target keyword, along with keyword clusters, allowing users to determine search intentions by clustering keywords based on user search data and providing filters for specific insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple extracted keywords are listed through visualization tools, then keyword extraction capability is improved, but the ability to determine search intention and understand keyword connections deteriorates
Solution Approach 1:
The patent segments the flat list of keywords into hierarchical search paths with multiple levels. Keywords are organized into parent-child relationships where parent keywords represent broader categories and child keywords represent specific search terms. This segmentation preserves the quantity of keywords while restoring the lost contextual information about how users navigate from general to specific search terms.
Solution Approach 2:
The patent transforms the one-dimensional keyword list into a multi-dimensional search path structure with vertical hierarchy (parent-child levels) and horizontal relationships (sibling keywords at the same level). This dimensional transformation allows visualization of keyword connections and search intention flow, enabling users to understand not just what keywords exist but how they relate in the user's search journey.
2Ease of manufacture
If only a list of keywords is provided, then data processing simplicity is maintained, but the visualization of search paths and keyword connections deteriorates
Solution Approach 1:
The patent performs preliminary organization of keywords into search paths and hierarchical structures before presentation to the user. The system pre-processes the keyword data to establish parent-child relationships, determine search levels, and organize keywords into meaningful paths. This preliminary structuring maintains processing efficiency while enabling intuitive visualization without requiring complex real-time computation during user interaction.
3Measurement precision
If keywords are clustered based on search intention, then search intention analysis is improved, but the complexity of the visualization tool increases
Solution Approach 1:
The patent implements a universal search path structure that serves multiple functions: it organizes keywords hierarchically, visualizes search paths, enables search intention analysis, and supports various interaction modes. The same hierarchical framework that organizes parent-child keywords also inherently reveals search intentions by showing the progression from general to specific terms, eliminating the need for separate complex analysis mechanisms.
Data Source
AI summary
A method for displaying a search path according to an embodiment disclosed herein includes displaying an object for receiving a user input for at least one of a search keyword, a location of the search keyword within a base search path, or an alignment criterion of the base search path, displaying a first search path including at least one of a first keyword located before the search keyword or a second keyword located after the search keyword based on the location of the search keyword, in response to receiving a user input for at least one of the search keyword, the location of the search keyword, or the alignment criterion, and displaying, based on a user input for keyword clustering, at least one of a result of clustering the first keyword or a result of clustering the second keyword in the first search path.