Big Data in Tourism and Hospitality Industry: Predictive Analytics of Hotel Room Trends
This study investigates predictive analytics applications in the hospitality sector, specifically employing the XGBoost algorithm to predict room selection patterns based on guest data. Analysis of 900 booking records revealed that three variables—"Length of Stay," "Rating," and "Guest Type"—exhibit...
Furkejuvvon:
| Váldodahkki: | |
|---|---|
| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
Lasigo Akademia Indonesia
2025-04-01
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| Ráidu: | Indonesian Journal of Tourism and Leisure |
| Fáttát: | |
| Liŋkkat: | https://journal.lasigo.org/index.php/IJTL/article/view/474 |
| Fáddágilkorat: |
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