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

Table 3

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

Algorithm	Metrics (%)	Recommended number
		2	4	6	8	10	12	14	16	18	20
EHC-CF	Precision	90.3805	89.7659	89.3578	88.7287	88.3573	88.2147	87.8782	87.7129	87.6330	87.4568
	Recall	7.8480	15.1348	21.7199	27.5310	32.6933	37.3786	41.5252	45.3709	48.9157	52.1453
		14.3758	25.7226	34.6698	41.6885	47.3606	52.1235	56.0057	59.4090	62.3873	64.9418
DTNM	Precision	91.2053	89.7964	89.1047	88.8487	88.4917	88.2884	88.2264	87.9556	87.7681	87.6785
	Recall	7.9072	15.1289	21.6744	27.5701	32.7656	37.4209	41.6886	45.4873	48.9955	52.2710
		14.4857	25.7146	34.5931	41.7475	47.4577	52.1785	56.2263	59.5654	62.4880	65.1010
K-CF	Precision	91.2274	90.1739	89.5158	89.1396	88.8328	88.4051	88.2116	88.0297	87.9305	87.7079
	Recall	7.9072	15.2000	21.7640	27.6597	32.8672	37.4738	41.6812	45.5312	49.0895	52.2939
		14.4860	25.8335	34.7383	41.8829	47.6137	52.2509	56.2164	59.6208	62.6062	65.1270
DN-VCA	Precision	91.7247	90.4707	89.7541	89.4433	88.9443	88.5499	88.3380	88.0890	87.9783	87.8778
	Recall	7.9570	15.2437	21.8078	27.7400	32.9021	37.5253	41.7313	45.5466	49.1077	52.3803
		14.5765	25.9100	34.8122	42.0086	47.6662	52.3267	56.2874	59.6466	62.6328	65.2411