TY  - JOUR
AU  - Bobadilla, Jesús
AU  - Ortega, Fernando
AU  - Gutiérrez, Abraham
AU  - González Prieto, Ángel
PY  - 2022
DO  - 10.1007/s00521-022-08088-2
SN  - 0941-0643
UR  - https://hdl.handle.net/20.500.14352/72782
T2  - Neural Computing and Applications
AB  - Deep learning provides accurate collaborative filtering models to improve recommender system results. Deep matrix factorization and their related collaborative neural networks are the state of the art in the field; nevertheless, both models lack the...
LA  - eng
PB  - Springer Nature
KW  - Recommender systems
KW  - Collaborative filtering
KW  - Variational enrichment
KW  - Deep learning
TI  - Deep variational models for collaborative filtering-based recommender systems
TY  - journal article
ER  -