Users often consult online help when they encounter problems. Many online help resources are organized as a list of question-answer pairs or topics presented in a fixed order. Upon user consent, the techniques of this disclosure utilize a machine learning model to personalize the order in which the list of question-answer pairs or topics is presented to the user. The personalized ordering utilizes the knowledge of the context of the user to sort the presented list of help content based on the match of the content with the problem the user is likely facing.
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Carbune, Victor, "Personalized ordering for presentation of help topics", Technical Disclosure Commons, (June 08, 2018)