Table 4.

Comparison of experimental results of four recommended algorithms with different TOP-N.

TOP-N	Index	Literature [23]	Literature [24]	Literature [25]	Proposed
5	Precision (%)	30.61	28.42	32.05	31.21
	Recall (%)	41.24	39.94	43.21	42.92
	RMSE	0.88	0.93	0.85	0.86
20	Precision (%)	28.16	26.96	28.08	29.98
	Recall (%)	44.37	43.65	46.78	47.58
	RMSE	0.79	0.91	0.78	0.72
35	Precision (%)	26.12	24.94	24.06	28.73
	Recall (%)	46.82	45.42	48.88	49.11
	RMSE	0.75	0.81	0.72	0.65
50	Precision (%)	23.24	22.25	21.78	25.97
	Recall (%)	50.16	48.9	51.34	51.79
	RMSE	0.68	0.72	0.61	0.57