THE IMPROVED MODEL OF USER SIMILARITY COEFFICIENTS COMPUTATION FOR RECOMMENDATION SYSTEMS

THE IMPROVED MODEL OF USER SIMILARITY COEFFICIENTS COMPUTATION FOR RECOMMENDATION SYSTEMS

The subject matter of the article is a model of calculating the user similarity coefficients of the recommendation systems. The urgency of the development is determined by the need to improve the quality of recommendation systems by adapting the time characteristics to possible changes in the simila...

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Bibliographic Details
Main Authors: Yelyzaveta Meleshko, Oleksandr Drieiev, Anas Mahmoud Al-Oraiqat
Format: Article
Language:English
Published: National Technical University "Kharkiv Polytechnic Institute" 2020-10-01
Series:Сучасні інформаційні системи
Subjects:
recommendation systems
similarity coefficients
collaborative filtering
data analysis
optimization
Online Access:http://ais.khpi.edu.ua/article/view/213263

Internet

http://ais.khpi.edu.ua/article/view/213263

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