Application of recommendation system in educational Field

Abstract

The article is devoted to the issue of the application of recommender system technology in the educational sphere. It was determined that certain tasks of the educational field can be described in terms of recommendation systems: the user who is given a recommendation is the education applicant; the objects of his interest are disciplines from the catalog of optional disciplines, sources from the library of the educational institution, topics (or research area) of qualification papers, potential supervisors of qualification papers, external courses for the organization of self-education. A list of resources was created to determine the characteristics of the education applicants’ objects of interest and the education applicants themselves within the framework of formal education, and an analysis of their content and method of formation was carried out. The structure of the recommendation system has been developed; its feature is that each object of interest of the education applicant corresponds to a separate module of recommendations. At the same time, the recommendation modules use shared resources, including databases of the educational institution with direct information about the objects of interest and the education applicant, as well as survey databases consisting of general regular mandatory surveys for education applicants at the level of the educational institution and contextual surveys regarding objects of interest. A hybrid approach was chosen to form the recommendations. The structure of the system provides for the use of collaborative filtering for processing survey results, and data presented in the form of semi-structured or arbitrary texts in natural language is proposed to be processed using Natural Language Processing and Text Mining methods, which will allow taking into account semantically similar values of the characteristics of objects of interest and users and thus to improve the quality of the recommendation system.