LEARNING CONTENT RECOMMENDATION SYSTEM BASED ON ARTIFICIAL INTELLIGENCE TRAINING, AND OPERATION METHOD THEREOF

摘要

The present invention is for predicting, with higher accuracy, the probability of a user getting the correct answer to a specific question, and for providing learning content having more increased efficiency, the present invention comprising the steps of: transmitting, to a user, question information including information related to a plurality of questions; receiving solving result information related to responses, of the user, to the plurality of questions; and training a user characteristics model on the basis of the question information and the solving result information, wherein the step for training the user characteristics model includes a step for, according to a question order inputted into the user characteristics model, applying weights to the user characteristics model on the basis of the degree of influence on the probability of getting the correct answer.