Profiling of Conceptual Systems Based on a Complex of Methods of Psychosemantics and Machine Learning

Abstract

A new approach to profiling users of social internet services and the concept of recommender systems based on this approach are presented. The proposed approach is based on the integration of the methods and models of machine learning with the methods of psychosemantics and visual analytics, which are implemented as software package that includes three client–server systems for collecting, processing, analyzing and visualizing data.