Information processing device, information processing method, and recording medium

An information processing method executed by a computer, comprising:

• training a learning model using graph data and relationship data, the graph data including a plurality of nodes corresponding to a plurality of contents, the graph data being provided with attribute data indicating attributes of the plurality of nodes, the relationship data indicating known relationships between the nodes linked in the graph data, and train the learning model to derive unknown relationship between the nodes that are not linked in the graph data based on the graph data and the relationship data;
• generating a query corresponding to a keyword inputted by a user;
• performing an analysis for identifying contents optimized for the query, by using the trained learning model;
• generating a graph for showing an analysis result obtained by the analysis together with a basis;
• and
• generating 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,
• wherein the the display information is generated by:
• acquiring data of a part of the graph data where a relationship between the analysis result and the basis in the graph data is established, as an example data, based on the relationship data;
• classifying, among the nodes included in the example data, a plurality of nodes which have same relationships with each other and to which same attribute data is given, as one node group;
• generating the graph by modifying the example data so that the nodes belonging to one node group are arranged in an overlapping manner;
• applying the icons corresponding to the attributes of the nodes to the nodes arranged in a foreground of the graph;
• and
• in response to a user selection of a node hidden behind a foreground node, switch the display to bring the selected hidden node into the foreground while maintaining association between the analysis result and its basis.

A non-transitory computer-readable recording medium storing a program, the program causing the computer to execute processing comprising:

• training a learning model using graph data and relationship data, the graph data including a plurality of nodes corresponding to a plurality of contents, the graph data being provided with attribute data indicating attributes of the plurality of nodes, the relationship data indicating known relationships between the nodes linked in the graph data, and train the learning model to derive unknown relationship between the nodes that are not linked in the graph data based on the graph data and the relationship data;
• generating a query corresponding to a keyword inputted by a user;
• performing an analysis for identifying contents optimized for the query, by using the trained learning model;
• generating a graph for showing an analysis result obtained by the analysis together with a basis;
• and
• generating 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,
• wherein the the display information is generated by:
• acquiring data of a part of the graph data where a relationship between the analysis result and the basis in the graph data is established, as an example data, based on the relationship data;
• classifying, among the nodes included in the example data, a plurality of nodes which have same relationships with each other and to which same attribute data is given, as one node group;
• generating the graph by modifying the example data so that the nodes belonging to one node group are arranged in an overlapping manner,
• applying the icons corresponding to the attributes of the nodes to the nodes arranged in a foreground of the graph;
• and
• in response to a user selection of a node hidden behind a foreground node, switch the display to bring the selected hidden node into the foreground while maintaining association between the analysis result and its basis.