Review Machine Learning Models for Managing Hotel Cancellations in the Tourism Industry
Author:
Affiliation:
1. Chandigarh Univercity,Dept. of Computer Science Engineering,Mohali,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10205372/10205375/10205827.pdf?arnumber=10205827
Reference21 articles.
1. The Role of Expected Benefits towards Smart Hotels in Shaping Customer Behavior: Comparison by Age and Gender
2. Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models
3. A MACHINE LEARNING APPROACH TO IMPROVING FORECASTING ACCURACY OF HOTEL DEMAND: A COMPARATIVE ANALYSIS OF NEURAL NETWORKS AND TRADITIONAL MODELS;lee;Issues in Information Systems,2020
4. Deep learning model based on expectation-confirmation theory to predict customer satisfaction in hospitality service
5. Exploratory data analysis & booking cancelation prediction on hotel booking demands datasets;saputro;Journal of Applied Data Sciences,2021
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1. Exploring the Prospects of Artificial Intelligence in the Tourism Sector;Advances in Hospitality, Tourism, and the Services Industry;2024-03-06
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