ПРИМЕНА ФАКТОРИЗАЦИЈЕ МАТРИЦА У СИСТЕМИМА ПРЕПОРУКА, APPLICATION OF MATRIX FACTORIZATION IN RECOMMENDER SYSTEMS

<jats:p>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++.</jats:p>