Research Article

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

Table 2

Precisions of different algorithms (the best value of each row is shown as 60.52, the suboptimal value of each row is shown as 59.84, and unit is %).

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

159.8059.2958.6059.0557.3158.4260.5258.0858.6037.775.3360.03
258.9158.8257.8658.2456.4359.2059.8058.9657.6637.588.6262.52
360.2760.7657.4358.8657.3259.3260.6258.9858.4139.327.8163.07
459.5161.7557.9658.9357.6860.3560.6059.3658.8039.778.6265.86
559.0760.6957.5059.0657.8360.3959.8460.2958.8740.058.3865.75
660.3859.2158.5959.7356.1060.2860.3958.6758.6540.498.7765.99
758.7461.1558.9859.9857.5660.4860.4760.6059.2640.569.0866.87
860.0761.1559.0660.0258.1560.6760.5160.6959.5741.289.0166.98
961.4361.4959.3660.2558.7960.7660.7560.8459.6941.048.5167.08
1062.1662.3359.4060.3259.4261.1560.8359.9860.0341.679.0867.69
60.0460.6658.4759.4457.6660.1060.4359.6558.9539.958.3265.18