Open AccessAdopting explicit and implicit social relations by SVD++ for recommendation system improvement
Author(s) -
Mohsin Hasan Hussein,
Akeel Alsakaa,
Haydar Abdulameer Marhoon
Publication year - 2021
Publication title -
telkomnika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.258
H-Index - 23
eISSN - 2302-9293
pISSN - 1693-6930
DOI - 10.12928/telkomnika.v19i2.18149
Subject(s) - singular value decomposition , computer science , similarity (geometry) , recommender system , dimension (graph theory) , set (abstract data type) , value (mathematics) , singular value , matrix decomposition , data mining , collaborative filtering , matrix (chemical analysis) , artificial intelligence , algorithm , theoretical computer science , information retrieval , machine learning , mathematics , eigenvalues and eigenvectors , physics , materials science , composite material , quantum mechanics , pure mathematics , image (mathematics) , programming language