Disclosed herein are systems and methods for selection of a model to describe a user. In one aspect, an exemplary method comprises, creating data on preferences of the user based on previously gathered data on usage of a computing device by the user and a base model that describes the user, wherein the base model is previously selected from a database of models including a plurality of models, determining an accuracy of the data created on the preferences of the user, wherein the determination is based on observed behaviors of the user, when the accuracy of the data is determined as being less than a predetermined threshold value, selecting a correcting model related to the base model, and retraining the base model, and when the accuracy of the data is determined as being greater than or equal to the predetermined threshold value, selecting the base model to describe the user.