Graph-Based Content Display for Explainable Healthcare Recommendations
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Solution Overview
Problem
Existing techniques for presenting content based on the shortest path in graph data require complex operations for specifying detailed information, complicating the user's understanding of the basis for content presentation.
Innovation Solution
An information processing device that trains a learning model using graph data and relationship data to identify optimized contents for a user's keyword input, generating display information with icons representing node attributes to intuitively show the basis of content presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the technique of calculating the shortest path connecting two contents in the community graph is used, then the correlation between contents can be abstracted and presented, but the operation for specifying detailed information of one content is required, complicating the user's understanding of the basis for content presentation
Solution Approach 1:
The patent extracts and highlights the basis information (shortest path and correlation) directly in the content presentation interface. When content is recommended, the system automatically displays the reasoning path and correlation strength without requiring users to perform additional operations to access this information.
Solution Approach 2:
The patent introduces an intermediary display element that visually represents the correlation basis between recommended content and user interests. This intermediary layer (display control unit) translates complex graph data into intuitive visual representations showing the reasoning path, making the basis of content presentation immediately visible to users.
2Loss of information
If detailed information of content on the shortest path is to be displayed, then the basis of content presentation can be understood, but complex operations are required for specifying the content
Solution Approach 1:
The patent merges the content display function with the basis information display function into a single integrated interface. The display control unit combines the recommended content presentation with the shortest path visualization and correlation strength indication, allowing users to understand the basis of content presentation without navigating to separate screens or performing complex operations.
Solution Approach 2:
The patent segments the basis information into distinct visual elements (shortest path representation, correlation strength indicator, node attribute icons) that are separately rendered and displayed alongside the content. This segmentation makes the complex basis information easily parseable and understandable at a glance without requiring users to navigate through complex procedures.
Data Source
AI summary
In the information processing device, the training means trains a learning model using graph data and relationship data. The graph data includes a plurality of nodes corresponding to a plurality of contents, and the graph data is provided with attribute data indicating attributes of the plurality of nodes. The relationship data indicates known relationships between the nodes linked in the graph data. The analysis means performs an analysis for identifying contents optimized for a keyword inputted by a user, by using the trained learning model. The display information generation means generates a graph for showing an analysis result obtained by the analysis together with a basis, and generates a display information in which an icon corresponding to the attribute of each node is applied to each node constituting the basis in the graph. The information processing device can be used for user's decision making relating to healthcare.