Recommendation Algorithm in Double-Layer Network Based on Vector Dynamic Evolution Clustering and Attention Mechanism

Table 4

Precision, recall, and of EHC-CF, DTNM, K-CF, and DN-VCA based on CiaoDVD-1 dataset.

Algorithm	Metrics (%)	Recommended number
		2	4	6	8	10	12	14	16	18	20
EHC-CF	Precision	24.5900	13.6557	9.6985	7.6019	6.3958	5.5571	4.9320	4.4214	4.0643	3.7721
	Recall	11.3877	11.8937	12.3989	12.8134	13.3843	13.8904	14.3312	14.6425	15.1090	15.5502
		15.5662	12.7134	10.8831	9.5420	8.6551	7.9379	7.3381	6.7916	6.4052	6.0711
DTNM	Precision	13.9274	8.4802	5.9297	5.1109	4.4484	3.8422	3.6072	3.4007	3.1722	3.0071
	Recall	6.4437	7.3774	7.5714	8.6098	9.2974	9.5947	10.4794	11.2553	11.7857	12.3821
		8.8107	7.8901	6.6504	6.4139	6.0174	5.4869	5.3667	5.2231	4.9987	4.8388
K-CF	Precision	20.6154	12.1088	8.2584	6.7321	5.5848	4.9203	4.3153	4.0033	3.7157	3.3792
	Recall	9.5448	10.5441	10.5573	11.3497	11.6845	12.2939	12.5426	13.2556	13.8116	13.9290
		13.0480	11.2720	9.2669	8.4509	7.5571	7.0276	6.4210	6.1492	5.8557	5.4387
DN-VCA	Precision	24.8136	13.7930	9.8938	7.6697	6.5324	5.6663	4.9717	4.4229	4.1280	3.8314
	Recall	11.4897	12.0078	12.6432	12.9301	13.6684	14.1613	14.4467	14.6415	15.3412	15.7958
		15.7062	12.8381	11.1002	9.6277	8.8396	8.0936	7.3972	6.7932	6.5052	6.1667