Research Article
Design and Implementation of a Personalized Tourism Recommendation System Based on the Data Mining and Collaborative Filtering Algorithm
Table 1
Comparison for data inputs.
| Metrics | SMTM | ATRS | CAFOB | CMFP |
| Accuracy | 0.647 | 0.744 | 0.844 | 0.9101 | Data handling rate (filtering) | 29 | 52 | 89 | 102 | Time (s) | 0.711 | 0.493 | 0.359 | 0.1938 | Overhead (update/mining) | 109 | 82 | 52 | 21 |
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