Table 1.

Overall performance in $\mathtt{CV}$

Method	Parameters		Feature level		Task level
	d	$\lambda$	QH@5	WQH@5	NH${}_1@1$	NH${}_2@1$	NH${}_3@1$	NH${}_5@1$	NH${}_{\text{all}}@1$
$\mathtt{PLTR}$	10	–	$\underset{\_}{\mathit{2.665}}\pm 0.07$	$3.136\pm 0.12$	$0.605\pm 0.03$	$0.701\pm 0.04$	$0.713\pm 0.05$	$0.725\pm 0.05$	$0.683\pm 0.04$
	10	–	$2.647\pm 0.08$	$\underset{\_}{\mathit{3.191}}\pm 0.14$	$0.599\pm 0.03$	$0.677\pm 0.04$	$0.707\pm 0.04$	$0.725\pm 0.05$	$0.677\pm 0.04$
	10	–	$2.569\pm 0.08$	$2.957\pm 0.11$	$\mathit{0.635}\pm 0.03$	$0.707\pm 0.04$	$0.689\pm 0.05$	$0.719\pm 0.04$	$0.653\pm 0.04$
	10	–	$2.623\pm 0.06$	$3.073\pm 0.09$	$0.623\pm 0.03$	$\underset{\_}{\mathit{0.713}}\pm 0.05$	$0.707\pm 0.04$	$0.719\pm 0.04$	$0.671\pm 0.04$
	50	–	$2.467\pm 0.07$	$2.992\pm 0.11$	$0.605\pm 0.03$	$0.695\pm 0.04$	$\mathit{0.725}\pm 0.06$	$0.725\pm 0.04$	$0.653\pm 0.04$
	30	–	$2.491\pm 0.07$	$3.080\pm 0.14$	$0.563\pm 0.04$	$0.689\pm 0.05$	$0.713\pm 0.04$	$\mathit{0.749}\pm 0.04$	$\mathit{0.689}\pm 0.03$
${\mathtt{PLTR}}_{\mathtt{h}}$	10	–	2.599 ± 0.09	3.111 ± 0.12	0.623 ± 0.02	0.671 ± 0.03	0.713 ± 0.03	0.719 ± 0.04	0.707 ± 0.03
	10	–	$2.575\pm 0.08$	3.115 ± 0.13	0.623 ± 0.03	0.677 ± 0.03	0.737 ± 0.04	0.749 ± 0.03	0.695 ± 0.03
	10	–	$2.419\pm 0.09$	$2.827\pm 0.12$	$\underset{\_}{\mathit{0.647}}$ ± 0.03	0.695 ± 0.03	0.671 ± 0.03	0.707 ± 0.03	0.635 ± 0.03
	30	–	$2.138\pm 0.10$	$2.583\pm 0.18$	$0.629\pm 0.02$	$\mathit{0.701}\pm 0.02$	0.695 ± 0.03	0.695 ± 0.04	0.593 ± 0.05
	50	–	$2.102\pm 0.07$	$2.470\pm 0.10$	$0.533\pm 0.03$	$0.677\pm 0.03$	$\underset{\_}{\mathit{0.743}}$ ± 0.04	0.754 ± 0.03	0.629 ± 0.05
	30	–	$2.281\pm 0.07$	$2.768\pm 0.18$	$0.563\pm 0.03$	$0.689\pm 0.03$	0.707 ± 0.04	$\mathit{0.760}$ ± 0.05	0.701 ± 0.05
$\mathtt{KRL}$	–	2	2.102 ± 0.26	2.167 ± 0.37	0.569 ± 0.03	0.611 ± 0.05	0.635 ± 0.04	0.683 ± 0.03	0.689 ± 0.07
	–	1.5	2.078 ± 0.15	2.143 ± 0.25	0.503 ± 0.04	0.575 ± 0.05	0.617 ± 0.05	0.677 ± 0.04	$\underset{\_}{\mathit{0.760}}$ ± 0.06
$\mathtt{BMTMKL}$	–	–	2.443 ± 0.12	2.614 ± 0.20	0.413 ± 0.07	0.491 ± 0.08	0.593 ± 0.05	$\underset{\_}{\mathit{0.784}}$ ± 0.05	0.749 ± 0.05

The column “d” corresponds to the latent dimension. The numbers in the form of $x\pm y$ represent the mean (x) and standard deviation (y). The best performance of each method is in italic. The best performance under each evaluation metric is underlined