Research Article

[Retracted] Optimization of Digital Recommendation Service System for Tourist Attractions Based on Personalized Recommendation Algorithm

Table 1

Clustering results of photo attractions with geographic information.

Clustering parametersAttractionsClustering results

Eps (km)MinPtsGreat WallTiananmen SquareSummer palaceWater cubeNumber of categoriesNoise rate (%)
0.51030035023002405563.70
20150312210021322271.88
3011728612561861476.30

11057056027653507046.29
2040052024603212358.60
3026049814862461563.02

31072470062034205022.32
2068066850793852930.94
3064862348623431837.06