Research Article

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

Table 3

Recall values of different algorithms (the best value of each row is shown as 16.13, the suboptimal value of each row is shown as 17.89, and unit is %).

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

113.3115.9414.9213.3915.9315.3615.0414.5716.139.380.3315.94
215.3617.8915.5515.4016.4114.0814.3614.7116.7310.250.8017.96
313.4017.9312.6513.9515.8713.5714.3915.2317.639.911.1217.83
414.8116.5414.3014.0116.2715.4814.6115.6316.7710.421.8017.84
514.9918.2915.7614.8816.3215.5114.8615.4217.1610.622.1118.69
616.2114.6515.7815.8016.6116.6214.9716.3117.479.892.3417.66
717.9718.8616.1316.3916.8516.7316.5416.4718.8511.643.1419.20
817.2018.6516.3816.4516.9416.7416.8116.5816.1312.083.4319.68
917.2918.7516.8317.1716.9616.8216.2316.7417.4913.074.8120.20
1018.1618.2516.2817.3917.5616.7016.9217.0817.6413.125.5621.70
15.8717.5715.4615.4816.5715.7615.4715.8817.2011.042.5418.67