Proceeding of the Faculty of technical Sciences, Novi Sad

Electrotechnical and Computer Engineering

Vol. 41 No. 02 (2026): Proceedings of the Faculty of Technical Sciences

APPLICATION OF MATRIX FACTORIZATION IN RECOMMENDER SYSTEMS

  • Leopoldina Đanić
DOI:
https://doi.org/10.24867/34BE34Djanic
Submitted
February 17, 2026
Published
2026-03-09

Abstract

This paper examines and explores the application of matrix factorization methods in recommender systems. Various matrix factorization techniques are studied with the goal of improving the accuracy and personalization of recommendations. The main problem addressed is achieving more precise prediction of the ratings that users would assign to movies. The techniques used in the experiment are SVD, SVD++ and TimeSVD++.

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