Open AccessRecommender systems: a novel approach based on singular value decomposition
Author(s) -
Francesco Colace,
Dajana Conte,
Massimo De Santo,
Marco Lombardi,
Beatrice Paternoster,
Domenico Santaniello,
Carmine Valentino
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i6.pp6513-6521
Subject(s) - recommender system , collaborative filtering , computer science , information overload , singular value decomposition , context (archaeology) , matrix decomposition , exploit , mean squared error , decomposition , the internet , data mining , information retrieval , artificial intelligence , world wide web , mathematics , statistics , paleontology , eigenvalues and eigenvectors , physics , computer security , quantum mechanics , biology , ecology