Tourism demand forecasting with time series imaging: A deep learning model-Reference-Cited by-同舟云学术

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Tourism demand forecasting with time series imaging: A deep learning model

Published:2021-09 Issue: Volume:90 Page:103255
ISSN:0160-7383
Container-title:Annals of Tourism Research
language:en
Short-container-title:Annals of Tourism Research

Author:

Bi Jian-Wu,Li Hui,Fan Zhi-Ping

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Tourism, Leisure and Hospitality Management,Development

Reference47 articles.

1. Modeling and forecasting regional tourism demand using the Bayesian global vector autoregressive (BGVAR) model;Assaf;Journal of Travel Research,2018

2. The tourism forecasting competition;Athanasopoulos;International Journal of Forecasting,2011

3. A deep neural networks based recommendation algorithm using user and item basic data;Bi;International Journal of Machine Learning and Cybernetics,2020

4. Exploring asymmetric effects of attribute performance on customer satisfaction in the hotel industry;Bi;Tourism Management,2020

5. Daily tourism volume forecasting for tourist attractions;Bi;Annals of Tourism Research,2020

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