Self-learning, context-sensitive troubleshooting

A method comprising:

• an information handling system receiving, from a client information handling system, information indicative of an error;
• the information handling system performing natural language processing of a text associated with the error to determine a set of error tokens;
• the information handling system performing natural language processing of a plurality of items of troubleshooting content to determine, for each item of troubleshooting content, a respective set of troubleshooting tokens;
• for each respective set of troubleshooting tokens, the information handling system determining a similarity score for the corresponding item of troubleshooting content relative to the set of error tokens;
• the information handling system receiving user feedback for a selected one of the items of troubleshooting content;
• and
• the information handling system adjusting the similarity score for the selected one based on the received user feedback.

An article of manufacture comprising a non-transitory, computer-readable medium having computer-executable code thereon that is executable by at least one processor of at least one information handling system for:

• receiving, from a client information handling system, information indicative of an error;
• performing natural language processing of a text associated with the error to determine a set of error tokens;
• performing natural language processing of a plurality of items of troubleshooting content to determine, for each item of troubleshooting content, a respective set of troubleshooting tokens;
• for each respective set of troubleshooting tokens, determining a similarity score for the corresponding item of troubleshooting content relative to the set of error tokens;
• receiving user feedback for a selected one of the items of troubleshooting content;
• and
• adjusting the similarity score for the selected one based on the received user feedback.