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Forecasting resort hotel tourism demand using deep learning techniques – A systematic literature review
16 references·0 citing·42 second hop
Forecasting resort hotel tourism demand using deep learning techniques – A systematic literature review (2023)Forecasting resort hotel tourism demand u…Tourism demand forecasting with spatiotemporal features (2022)Tourism demand forecasting wi…Using SARIMA–CNN–LSTM approach to forecast daily tourism demand (2021)Using SARIMA–CNN–LSTM approac…Tourism demand forecasting with time series imaging: A deep learning model (2021)Tourism demand forecasting wi…Tourism Demand Forecasting: A Decomposed Deep Learning Approach (2020)Tourism Demand Forecasting: A…Group pooling for deep tourism demand forecasting (2020)Group pooling for deep touris…Forecasting Tourist Daily Arrivals With A Hybrid Sarima–Lstm Approach (2020)Forecasting Tourist Daily Arr…Forecasting Tourist Arrivals via Random Forest and Long Short-term Memory (2020)Forecasting Tourist Arrivals …Daily tourism volume forecasting for tourist attractions (2020)Daily tourism volume forecast…Bayesian BILSTM approach for tourism demand forecasting (2020)Bayesian BILSTM approach for …Qualitative Data Analysis: From Start to Finish (2018)Qualitative Data Analysis: Fr…Prediction for Tourism Flow based on LSTM Neural Network (2018)Prediction for Tourism Flow b…Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index (2018)Effective tourist volume fore…Manual search approaches used by systematic reviewers in dermatology (2016)Manual search approaches used…Effectiveness and efficiency of search methods in systematic reviews of complex evidence: audit of primary sources (2005)Effectiveness and efficiency …Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)Analyzing the Past to Prepare…A neural network model to forecast Japanese demand for travel to Hong Kong (1999)A neural network model to for…Forecasting tourism demand: A review of empirical research (1995)Earthquake devastation and recovery in tourism: the Taiwan case (2002)Designing an artificial neural network for forecasting tourism time series (2005)Effects of user-provided photos on hotel review helpfulness: An analytical approach with deep leaning (2017)Information Systems Success: The Quest for the Dependent Variable (1992)Strategies for Theorizing from Process Data (1999)Review : Knowledge Management and Knowledge Management Systems: Conceptual Foundations And Research Issues1,2 (2001)Does Gamification Work? 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References

  • 2002Analyzing the Past to Prepare for the Future: Writing a Literature Review7,440 cited
  • 2005Effectiveness and efficiency of search methods in systematic reviews of complex evidence: audit of primary sources2,042 cited
  • 2018Qualitative Data Analysis: From Start to Finish415 cited
  • 1999A neural network model to forecast Japanese demand for travel to Hong Kong309 cited
  • 2018Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index248 cited
  • 2020Bayesian BILSTM approach for tourism demand forecasting235 cited
  • 2018Prediction for Tourism Flow based on LSTM Neural Network209 cited
  • 2020Daily tourism volume forecasting for tourist attractions183 cited
  • 2020Tourism Demand Forecasting: A Decomposed Deep Learning Approach179 cited
  • 2021Tourism demand forecasting with time series imaging: A deep learning model145 cited
  • 2021Using SARIMA–CNN–LSTM approach to forecast daily tourism demand130 cited
  • 2016Manual search approaches used by systematic reviewers in dermatology127 cited
  • 2020Forecasting Tourist Daily Arrivals With A Hybrid Sarima–Lstm Approach87 cited
  • 2020Group pooling for deep tourism demand forecasting78 cited
  • 2022Tourism demand forecasting with spatiotemporal features

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69 cited
  • 2020Forecasting Tourist Arrivals via Random Forest and Long Short-term Memory67 cited
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