Dynamic temporal reinforcement learning and policy-enhanced LSTM for hotel booking cancellation prediction

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Dynamic temporal reinforcement learning and policy-enhanced LSTM for hotel booking cancellation prediction

The global tourism industry is expanding rapidly, making effective management of hotel booking cancellations crucial for improving service and efficiency. Existing models, based on static data assumptions and fixed parameters, fail to capture dynamic changes and temporal trends. Real-world cancellat...

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Bibliographic Details
Published in:	PEERJ COMPUTER SCIENCE
Main Authors:	Xiao, Junhua; Abidin, Shahriman Zainal; Vermol, Verly Veto; Gong, Bei
Format:	Article
Language:	English
Published:	PEERJ INC 2024
Subjects:	Computer Science
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-recordWOS:001374690900003

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