[Retracted] Research on Fast Recommendation Algorithm of Library Personalized Information Based on Density Clustering

Table 1

The accuracy of the three recommendation algorithms and parameter results of F value.

Number of experiments/times	Numerical
	Algorithm of reference [5]
	Precision	F-measure
10	0.5170	0.6628
20	0.5444	0.6402
30	0.5957	0.6823
40	0.6014	0.6886
50	0.6101	0.6984
60	0.6105	0.6901
70	0.6144	0.6940
80	0.6046	0.6865
90	0.6159	0.6942
100	0.6163	0.6960
	Algorithm of reference [7]
	Precision	F-measure
10	0.5267	0.5174
20	0.5342	0.5324
30	0.5564	0.5957
40	0.5536	0.6310
50	0.5542	0.6360
60	0.5564	0.6416
70	0.5564	0.6413
80	0.5575	0.6424
90	0.5681	0.6488
100	0.5693	0.6495
	Algorithm of this paper
	Precision	F-measure
10	0.8455	0.8710
20	0.8474	0.8702
30	0.8522	0.8715
40	0.8543	0.8785
50	0.8544	0.8656
60	0.8568	0.8646
70	0.8567	0.8630
80	0.8571	0.8634
90	0.8660	0.8666
100	0.8676	0.8659