METHOD APPARATUS AND COMPUTER PROGRAM FOR OPERATING A MACHINE LEARNING FRAMEWORK WITH ACTIVE LEARNING TECHNIQE

摘要

The present invention relates to a method for analyzing a user in a data analysis server, comprising: step A of configuring a problem database including a plurality of problems, collecting solution result data of a user for the problems, and modeling the user by using the solution result data; step B of generating an expert model which proposes data necessary for machine learning of the data analysis model; step C of extracting at least one problem from the problem database in accordance with a recommendation of the expert model, and updating the data analysis model by using the solution result data of the user for the extracted problems; and step D of applying a reward which is preset to improve a prediction accuracy of the data analysis model to the update information of the data analysis model and updating the expert model. Therefore, the method for analyzing a user in a data analysis server can sort necessary data for efficiently generating user and/or problem models.