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 parameters | Attractions | Clustering results |
| Eps (km) | MinPts | Great Wall | Tiananmen Square | Summer palace | Water cube | Number of categories | Noise rate (%) | 0.5 | 10 | 300 | 350 | 2300 | 240 | 55 | 63.70 | 20 | 150 | 312 | 2100 | 213 | 222 | 71.88 | 30 | 117 | 286 | 1256 | 186 | 14 | 76.30 |
| 1 | 10 | 570 | 560 | 2765 | 350 | 70 | 46.29 | 20 | 400 | 520 | 2460 | 321 | 23 | 58.60 | 30 | 260 | 498 | 1486 | 246 | 15 | 63.02 |
| 3 | 10 | 724 | 700 | 6203 | 420 | 50 | 22.32 | 20 | 680 | 668 | 5079 | 385 | 29 | 30.94 | 30 | 648 | 623 | 4862 | 343 | 18 | 37.06 |
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