Computer-implemented methods utilizing machine learning to generate a question and answer pair for a conversational agent

Abstract

Techniques for utilizing machine learning to generate a question and answer pair for a conversational agent are described. According to some examples, a computer-implemented method includes receiving a search indication from a user; determining a plurality of corresponding aspects for a plurality of suppliers based on a set of user reviews; generating, by one or more machine learning models, one or more contextually relevant aspects from the plurality of corresponding aspects based on the search indication for individual ones of the plurality of suppliers; generating, by the one or more machine learning models, a corresponding supplier related question for the individual ones of the plurality of suppliers based on the one or more contextually relevant aspects; selecting a supplier related question from the corresponding supplier related questions; generating, by the one or more machine learning models, a corresponding answer to the supplier related question based on one or more of the set of user reviews; and causing the supplier related question and the corresponding answer to be presented the user.