Machine learning operations (mlops): Overview, definition, and architecture
D Kreuzberger, N Kühl, S Hirschl - IEEE access, 2023 - ieeexplore.ieee.org
The final goal of all industrial machine learning (ML) projects is to develop ML products and
rapidly bring them into production. However, it is highly challenging to automate and …
rapidly bring them into production. However, it is highly challenging to automate and …
Hotel demand forecasting: a comprehensive literature review
L Huang, W Zheng - Tourism Review, 2023 - emerald.com
Purpose This study aims to provide a comprehensive review of hotel demand forecasting to
identify its key fundamentals and evolution and future research directions and trends to …
identify its key fundamentals and evolution and future research directions and trends to …
Prediction of hotel booking cancellations: Integration of machine learning and probability model based on interpretable feature interaction
Reliable hotel cancellation prediction can help establish appropriate operational strategies
for hotel management. In this sector, personal name records (PNR) data may be the most …
for hotel management. In this sector, personal name records (PNR) data may be the most …
Hospitality order cancellation prediction from a profit-driven perspective
Purpose This study/paper aims to reach the core objective of hospitality order cancellation
prediction (HOCP), that is, to identify potential cancellers from many customer bases …
prediction (HOCP), that is, to identify potential cancellers from many customer bases …
Using machine learning and big data for efficient forecasting of hotel booking cancellations
Cancellations are a key aspect of hotel revenue management because of their impact on
room reservation systems. In fact, very little is known about the reasons that lead customers …
room reservation systems. In fact, very little is known about the reasons that lead customers …
Explainable profit-driven hotel booking cancellation prediction based on heterogeneous stacking-based ensemble classification
The goal of hotel booking cancellation prediction in the hospitality industry is to identify
potential cancellations from a large customer base and improve the efficiency of customer …
potential cancellations from a large customer base and improve the efficiency of customer …
Big data in hotel revenue management: Exploring cancellation drivers to gain insights into booking cancellation behavior
In the hospitality industry, demand forecast accuracy is highly impacted by booking
cancellations, which makes demand-management decisions difficult and risky. In attempting …
cancellations, which makes demand-management decisions difficult and risky. In attempting …
[HTML][HTML] Hotel booking demand datasets
This data article describes two datasets with hotel demand data. One of the hotels (H1) is a
resort hotel and the other is a city hotel (H2). Both datasets share the same structure, with 31 …
resort hotel and the other is a city hotel (H2). Both datasets share the same structure, with 31 …
Identifying critical hotel cancellations using artificial intelligence
Cancellations have a significant impact on the hotel and lodging industry because they
directly affect income and are thus considered critical in revenue management. Specifically …
directly affect income and are thus considered critical in revenue management. Specifically …
Application of machine learning in the hotel industry: a critical review
E Alotaibi - Journal of Association of Arab Universities for …, 2020 - jaauth.journals.ekb.eg
Study purpose–The hotel industry like any other industry is witnessing a change due to
information and communication technology. However, this change is quite slow. Many …
information and communication technology. However, this change is quite slow. Many …