Table 1: Algorithmic performance for MovieLens dataset. The ranking score, precision, recall, intrasimilarity, and hamming distance are corresponding to . And the value of parameter is 1.86. Each number presented in this table is obtained by averaging over five runs, each of which has an independently random division of training set and test.

AlgorithmsRanking scorePrecisionRecallIntrasimilarityHamming distance

 CF0.1480.0770.3210.3160.704
 MCF0.1310.0870.3600.3040.751
 NBI0.1200.0890.3790.2910.778
 CF-M0.1160.0970.3870.2750.798
 CF0.1370.0710.3320.3280.698
 MCF0.1210.0800.3730.3170.743
 NBI0.1120.0810.3920.3030.771
 CF-M0.1070.0880.4010.2860.790
 CF0.1250.0660.3430.3420.692
 MCF0.1100.0720.3850.3300.735
 NBI0.1010.0730.4060.3150.762
 CF-M0.0960.0790.4150.2970.781