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A systematic review of machine learning applications in hotel occupancy forecasting Cover

A systematic review of machine learning applications in hotel occupancy forecasting

European Journal of Tourism, Hospitality and Recreation
Volume 15 (2025): Issue 2 (December 2025)
By: Ismael Gómez-Talal,  Mana Azizsoltani,  Jared Bischoff,  Kasra Ghaharian and  Ashok Singh  
Open Access
|Dec 2025

Authors

Ismael Gómez-Talal

ismael.gomez.talal@urjc.es

Rey Juan Carlos University, Madrid

Mana Azizsoltani

William F. Harrah College of Hospitality, University of Nevada, Reno

Jared Bischoff

William F. Harrah College of Hospitality, University of Nevada, Reno

Kasra Ghaharian

William F. Harrah College of Hospitality, University of Nevada, Reno

Ashok Singh

International Gaming Institute, University of Nevada, Reno
DOI: https://doi.org/10.2478/ejthr-2025-0022 | Journal eISSN: 2182-4924 | Journal ISSN: 2182-4916
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Language: English
Page range: 311 - 327
Submitted on: Dec 18, 2024
|
Accepted on: Mar 28, 2025
|
Published on: Dec 31, 2025
Published by: Polytechnic Institute of Leiria
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
systematic review,
machine learning,
demand forecasting,
hotel occupancy
Related subjects:
Business and economics,
Business management,
Business management, other,
Industries,
Tourism, hospitality, travel,
Event industry, leisure industry,
Sports and recreation,
Sports and recreation, other

© 2025 Ismael Gómez-Talal, Mana Azizsoltani, Jared Bischoff, Kasra Ghaharian, Ashok Singh, published by Polytechnic Institute of Leiria
This work is licensed under the Creative Commons Attribution 4.0 License.

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