“…Many studies employed the traditional machine-learning methods, such as decision trees (DTs) (Al-Radaideh et al, 2006 ; Koprinska et al, 2015 ), neighborhood method (Meier et al, 2015 ), LR (Anozie and Junker, 2006 ), neural networks (Andrews et al, 1995 ; Sorour et al, 2014 ), and kernel-based method (Boser et al, 1992 ). The new feature-learning techniques have been investigated in SPP, such as Lasso regression (Sorour et al, 2014 ; Zhang et al, 2018b ; Zhang and Liu, 2020 ), matrix factorization (MF) (Slim et al, 2014 ), tensor factorization (TF) (Thai-Nghe et al, 2011a ), and deep neural networks (Kim et al, 2018 ). In these methods, MF and deep learning have attracted increasing attention for SPP.…”