A device system and its operation method that evaluates the user's ability through an artificial intelligence model learned through transfer factor applied to various test domain

摘要

In accordance with an embodiment of the present invention, a user skill evaluation apparatus for predicting test scores through a transition factor representing the relative skill differences of users in a plurality of test domains receives question response information and test score information of a reference domain from a user terminal, , a transition factor extractor that extracts at least one transition factor from problem response information or test score information, a feature that can be commonly used for comparison of skills between a plurality of users in the reference domain and the target domain to evaluate the user's ability It includes a basic model learning unit that learns a basic model for predicting a user's test score from information and the transition factors, and a model transition performing unit that performs an operation of transferring the basic model to a skill evaluation model for predicting a test score of a target domain. .