TY  - JOUR
AU  - Pérez López, Diego
AU  - Dueñas Lerín, Jorge
AU  - Ortega, Fernando
AU  - González Prieto, José Ángel
PY  - 2023
DO  - 10.3390/app13158845
SN  - 2076-3417
UR  - https://hdl.handle.net/20.500.14352/110691
T2  - Applied Sciences
AB  - In recent times, recommender systems (RSs) have been attracting a lot of attention from the research community because of their groundbreaking applications. This has led to software-intensive companies like Amazon, Netflix, Spotify, or Google relying...
LA  - eng
M2  - 1
PB  - MDPI
TI  - New Trends in Artificial Intelligence for Recommender Systems and Collaborative Filtering
TY  - journal article
VL  - 13
ER  -