A Soft Voting Ensemble Model for Hotel Revenue Prediction
Yuxin Jiang,
Chengjie Ni,
Mingjing Chen
Abstract:In recent years, the hotel industry has faced unprecedented opportunities and challenges due to the increasing demand for travel and business trips. This growth not only presents significant opportunities but also brings challenges to resource management and price setting. Accurate hotel revenue prediction is crucial for the hotel industry as it influences pricing strategies and resource allocation. However, traditional hotel revenue prediction models fail to capture the diversity and complexity of hotel reven… Show more
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