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JOURNALS // Vestnik Sankt-Peterburgskogo Universiteta. Seriya 10. Prikladnaya Matematika. Informatika. Protsessy Upravleniya // Archive

Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 2016 Issue 1, Pages 66–77 (Mi vspui277)

Computer science

Ñonstruction of a recommender system for choosing higher education institutions for entrants

E. A. Belotskiy, A. V. Suetin

St. Petersburg State University, 7–9, Universitetskaya nab., St. Petersburg, 199034, Russia

Abstract: Making important decisions is part of everyday life, but with the rising of a number of options and complexity of choices people can use help of a variety of services to simplify that process. Recommender systems are an example of such services. These systems are used for solving different kinds of problems, they are widespread today, and fields of their application are still being broadened. The task of choosing higher education institutions restricts methods of obtaining recommendations, therefore systems of that kind are rare and do not provide ability of analysis deep enough to give users necessary information and acceptable options. Creation of system with higher complexity for this problem requires an approach, which differs from the most common. This article considers the creation of recommender system based on three methods: the “distance” method, multi-criterion analysis, and the analytic hierarchy process. The article offers the basic information on methods and represents the results of their implementation within the system. Refs 13. Figs 2. Table 1.

Keywords: multi-criteria choice, the Pareto set reduction, analytic hierarchy process, recommender systems.

UDC: 004.9

Received: November 26, 2015



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