Predicting hotel booking cancellations using tree-based neural network.

ABSTRACT: In the hospitality business, cancellations negatively affect the precise estimation of revenue management. With today's powerful computational advances, it is feasible to develop a model to predict cancellations to reduce the risks for business owners. Although these models have not yet been tested in real-world conditions, several prototypes were developed and deployed in two hotels. The their main goal was to study how these models could be incorporated into a decision support system and to assess their influence on demand-management decisions. In our study, we introduce a tree-based neural network (TNN) that combines a tree-based learning algorithm with a feed-forward neural network as a computational method for predicting hotel booking cancellation. Experimental results indicated that

SUBMITTER: Yang D 

PROVIDER: S-EPMC11623061 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature