Use of machine learning to identify topical arguments

A system, comprising:

• at least one processor;
• a memory device including instructions that, when executed by the at least one processor, cause the system to:
• store a topical problem statement at a root of a graph, and a plurality of topical arguments in a plurality of question nodes and user answer nodes as the topical arguments in a tree structure in the graph;
• grouping the question nodes into section groups that define a sub-topic under the topical problem statement, wherein the sub-topic may be navigated to using a graphical user interface;
• tracking use of the topical arguments in the graph by tracking access to the topical arguments through a user interface;
• identifying a use pattern of topical arguments;
• processing the use pattern using a machine learning model to match the use pattern to an expert pattern of use by an expert using the topical arguments and presenting an additional section group to solve a problem based on what the expert is predicted to use;
• and
• presenting an additional section group with topical arguments and user answers in the graph in the user interface using a classification of the use pattern to determine which additional section group to present in the graph in the user interface.

A non-transitory machine readable storage medium including instructions embodied thereon, wherein the instructions, when executed by at least one processor:

• store a topical problem statement at a root of a graph, and a plurality of topical arguments in a plurality of question nodes and user answers to the arguments in a tree structure in the graph;
• grouping the question nodes into section groups that define a sub-topic under the topical problem statement, wherein the sub-topic may be navigated to using a graphical user interface;
• tracking use of the topical arguments in the graph by tracking access to the topical arguments through a user interface;
• identifying a use pattern of topical arguments;
• processing the use pattern using a machine learning model to match the use pattern to an expert pattern of use by an expert using the topical arguments and presenting an additional section group to solve a problem based on what the expert is predicted to use, wherein a sub-topic description provides a context for a section group that relates to solving an expert problem;
• and
• sending an additional section group with topical arguments and user answers in the graph to a requestor defined using a classification of the use pattern to determine which additional section group to present in the graph in the user interface.