Research Article

Novel Recommendation System for Tourist Spots Based on Hierarchical Sampling Statistics and SVD++

Table 4

F1 values of different algorithms (the best value of each row is shown as 25.30, the suboptimal value of each row is shown as 27.44, and unit is %).

Nā€™SVDSVD++NMFSlope OneKNNKNN + ZscoreKNN + meansKNN BaselineCo-ClusteringBPROur_HSOur_Mix

121.7725.1323.7821.8324.9324.3224.0923.3025.3015.030.6225.19
224.3727.4424.5124.3625.4322.7523.1623.5525.9316.111.4627.90
321.9327.6920.7322.5524.8622.0923.2624.2127.0815.841.9627.80
423.7226.0922.9422.6425.3824.6423.5424.7426.1016.512.9828.08
523.9128.1124.7423.7725.4624.6823.8124.5626.5716.793.3729.11
625.5623.4924.8624.9925.6326.0623.9925.5226.9215.893.6927.86
727.5228.8325.3325.7426.0726.2125.9825.9028.6018.084.6729.83
826.7428.5825.6525.8226.2426.2426.3126.0425.3918.694.9730.42
926.9828.7426.2226.7226.3326.3525.6226.2627.0519.836.1531.05
1028.1128.2325.5627.0027.1126.2426.4826.5927.2719.966.9032.86
25.0627.2324.4324.5425.7424.9624.6225.0726.6217.303.6829.01