A New Collaborative Recommendation Approach Based on Users Clustering Using Artificial Bee Colony Algorithm

Table 2

Algorithmic performance for MovieLens dataset. The ranking score, precision, recall, intrasimilarity, Hamming distance are corresponding to 𝐿 = 30, 40, and 50. 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.

Algorithms	Ranking score	Precision	Recall	Intrasimilarity	Hamming distance
𝐿=30
CF	0.148	0.077	0.321	0.330	0.704
MCF	0.131	0.087	0.360	0.306	0.751
NN-; CosNgbr	0.124	0.085	0.352	0.311	0.744
cluster-based CF	0.109	0.098	0.393	0.279	0.796
𝐿=40
CF	0.137	0.071	0.332	0.338	0.698
MCF	0.121	0.080	0.373	0.317	0.743
NN-; CosNgbr	0.120	0.079	0.369	0.320	0.736
cluster-based CF	0.105	0.089	0.405	0.288	0.790
𝐿=50
CF	0.125	0.066	0.343	0.347	0.692
MCF	0.110	0.072	0.385	0.330	0.735
NN-; CosNgbr	0.109	0.070	0.381	0.334	0.729
cluster-based CF	0.097	0.078	0.417	0.301	0.776