Figure 1:
Article Screening Protocol
Figure 2:
Bibliometric Characteristics
Figure 3:
Study Characterisations
Figure 4:
Characteristics of Input Datasets
Figure 5:
Forecasting Horizons Used
Figure 6:
Machine Learning Methodologies Used in the Studies
Figure 7:
Machine Learning Pipeline Methodologies for Cross Validation (CV), Accuracy Metrics, Hyperparameter Tuning, and Interpretability
| Context Hotel | Intervention Machine Learning | Mechanism Demand Forecasting | Outcome Occupancy |
|---|---|---|---|
| “hotel*” | “machine learning” | “demand forecast*” | “occupancy rate” |
| “hospitality” | “ML” | “occupancy” | “occup*” |
| “resort” | “artificial intelligence” | “demand model*” | “room rate” |
| “lodg*” | “AI” | “predict*” | “vacanc*” |
| “accomodat*” | “deep learning” | “demand” | |
| “computational intelligence” | “model*” | ||
| “CI” |