Forecasting Hotel Accommodation Demand Based on LSTM Model Incorporating Internet Search Index

Forecasting Hotel Accommodation Demand Based on LSTM Model Incorporating Internet Search Index

Accurate forecasting of the hotel accommodation demands is extremely critical to the sustainable development of tourism-related industries. In view of the ever-increasing tourism data, this paper constructs a deep learning framework to handle the prediction problem in the hotel accommodation demands...

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Bibliographic Details
Main Authors: Binru Zhang, Yulian Pu, Yuanyuan Wang, Jueyou Li
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Sustainability
Subjects:
internet search index
deep learning framework
LSTM model
hotel accommodation demands
forecasting performance
Online Access:https://www.mdpi.com/2071-1050/11/17/4708

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