DETERMINING PREFERENCES IN RECOMMENDER SYSTEMS BASED ON COMPARATOR IDENTIFICATION TECHNOLOGY

DETERMINING PREFERENCES IN RECOMMENDER SYSTEMS BASED ON COMPARATOR IDENTIFICATION TECHNOLOGY

The subject of research in the article is the process of ranking objects in the lists of recommender systems. The goal of the work is to increase the efficiency of recommender systems by improving the method of determining preferences between objects in lists using the theory of multi-criteria deci...

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Bibliographic Details
Main Authors: Vladimir Beskorovainyi, Lyudmyla Kolesnyk, Mariia Alokhina, Viktor Кosenko
Format: Article
Language:English
Published: Kharkiv National University of Radio Electronics 2022-06-01
Series:Сучасний стан наукових досліджень та технологій в промисловості
Subjects:
multi-criteria assessment
comparator identification
recommender system
ranking of objects
structural-parametric synthesis
Online Access:https://itssi-journal.com/index.php/ittsi/article/view/323

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