Datasets › Hotel

Hotel (Hospitality > Tourism > Hotel Demand/Sales)

Introduced by Ashkan Farhangi et al. in A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-198 Mar 2022 archive 2025-07-28

The dataset contains the hotel demand and revenue of 8 major tourist destinations in the US (e.g., Los Angeles, Orlando ...). The dataset contains sales, daily occupancy, demand, and revenue of the upper-middle class hotels.

We also gathered dynamic exogenous variables such as the state’s closure/open policy to enrich our dataset. Specifically, we gathered numerious static features such as the number of hospitals, GPD, and population.

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

Time Series Analysis Time Series Forecasting Feature Importance Time Series Prediction Probabilistic Deep Learning feature selection

License archive 2025-07-28

Open Source

Modalities archive 2025-07-28

Tabular Time series

Languages archive 2025-07-28

English

Variants archive 2025-07-28

Hotel

1 variant name, as the archive lists them.

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