Novel Multidimensional Collaborative Filtering Algorithm Based on Improved Item Rating Prediction

Table 5

Comparison of RMSE using Jester-1000-100.

a	K = 50	K = 60	K = 70	K = 80	K = 90	K = 100
1	0.8212	0.8322	0.8932	0.8659	0.8242	0.8212
0.9	0.8120	0.8372	0.8736	0.8865	0.8345	0.8332
0.8	0.8130	0.8713	0.8474	0.8692	0.8418	0.8788
0.7	0.8345	0.8543	0.8753	0.8832	0.8713	0.8722
0.6	0.8783	0.8707	0.9133	0.8792	0.8740	0.8590
0.5	0.8918	0.8885	0.9246	0.8993	0.8822	0.8667