Cognition model-based product assist

Abstract

An open domain question answering apparatus includes a communication parser and a machine learning module. The communication parser parses a communication from a user account. The communication parser uses a natural language interpretation algorithm to construct a query and identify a product. The machine learning module is coupled to the communication parser and populates a plurality of potential responses to the query based on data associated with the identified product. Each of the plurality of potential responses has an associated level of detail. The machine learning module applies a machine learning user capacity model to the plurality of potential responses to identify a response with an associated level of detail commensurate with the machine learning user capacity model. The machine learning user capacity model is trained using data relating to a cognitive capacity of the user account.