[1] UNWTO, “World Tourism Barometer”, vol. 20, no. 3, pp. 1–5, 2022, [Online]. Available: https://webunwto.s3.eu-west-1.amazonaws.com/s3fs-public/2022-06/UNWTO_Barom22_02_May_excerpt.pdf.
[2] Y. C. Hu, “Forecasting the demand for tourism using combinations of forecasts by neural network-based interval grey prediction models,” Asia Pacific J. Tour. Res., vol. 26, no. 12, pp. 1350–1363, 2021.
[3] R. R. Andrawis, A. F. Atiya, and H. El-Shishiny, “Combination of long term and short term forecasts, with application to tourism demand forecasting,” Int. J. Forecast., vol. 27, no. 3, pp. 870–886, 2011.
[4] F. Rafiei, and N. Abbaspoor, “The impact of exchange rate on domestic tourism demand of Iran,” Anatolia, pp. 1–12, 2021.
[5] K. Y. Chen, “Combining linear and nonlinear model in forecasting tourism demand,” Expert Syst. Appl., vol. 38, no. 8, pp. 10368–10376, 2011.
[6] S. Cankurt, and A. Subasi, “Tourism demand forecasting using stacking ensemble model with adaptive fuzzy combiner,” Soft Comput., vol. 26, no. 7, pp. 3455–3467, 2022.
[7] C. F. Chen, M. C. Lai, and C. C. Yeh, “Forecasting tourism demand based on empirical mode decomposition and neural network,” Knowledge-Based Syst., vol. 26, pp. 281–287, 2012.
[8] D. C. Wu, G. Li, and H. Song, Econometric Modelling and Forecasting of Tourism Demand: Methods and Applications. Taylor & Francis, 2022.
[9] H. Song, R. T. R. Qiu, and J. Park, “A review of research on tourism demand forecasting: Launching the Annals of Tourism Research Curated Collection on tourism demand forecasting,” Ann. Tour. Res., vol. 75, pp. 338–362, 2019.
[10] C. K. Chan, S. F. Witt, Y. C. E. Lee, and H. Song, “Tourism forecast combination using the CUSUM technique,” Tour. Manag., vol. 31, no. 6, pp. 891–897, 2010.
[11] J. W. Bi, T. Y. Han, and H. Li, “International tourism demand forecasting with machine learning models: The power of the number of lagged inputs,” Tour. Econ., vol. 28, no. 3, pp. 621–645, 2022.
[12] G. Athanasopoulos, R. J. Hyndman, H. Song, and D. C. Wu, “The tourism forecasting competition,” Int. J. Forecast., vol. 27, no. 3, pp. 822–844, 2011.
[13] J. Du Preez and S. F. Witt, “Univariate versus multivariate time series forecasting: an application to international tourism demand,” Int. J. Forecast., vol. 19, no. 3, pp. 435–451, 2003.
[14] S. Shen, G. Li, and H. Song, “Effect of seasonality treatment on the forecasting performance of tourism demand models,” Tour. Econ., vol. 15, no. 4, pp. 693–708, 2009.
[15] A. G. Assaf, G. Li, H. Song, and M. G. Tsionas, “Modeling and forecasting regional tourism demand using the Bayesian global vector autoregressive (BGVAR) model,” J. Travel Res., vol. 58, no. 3, pp. 383–397, 2019.
[16] H. Song, S. F. Witt, and T. C. Jensen, “Tourism forecasting: accuracy of alternative econometric models,” Int. J. Forecast., vol. 19, no. 1, pp. 123–141, 2003.
[17] S. C. Kon, and L. W. Turner, “Neural network forecasting of tourism demand,” Tour. Econ., vol. 11, no. 3, pp. 301–328, 2005.
[18] P. F. Pai, K. C. Hung, and K.-P. Lin, “Tourism demand forecasting using novel hybrid system,” Expert Syst. Appl., vol. 41, no. 8, pp. 3691–3702, 2014.
[19] S. Li, T. Chen, L. Wang, and C. Ming, “Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index,” Tour. Manag., vol. 68, pp. 116–126, 2018.
[20] A. Palmer, J. J. Montano, and A. Sesé, “Designing an artificial neural network for forecasting tourism time series,” Tour. Manag., vol. 27, no. 5, pp. 781–790, 2006.
[21] K. Y. Chen and C. H. Wang, “Support vector regression with genetic algorithms in forecasting tourism demand,” Tour. Manag., vol. 28, no. 1, pp. 215–226, 2007.
[22] J. P. Teixeira and P. O. Fernandes, “Tourism time series forecast-different ANN architectures with time index input,” Procedia Technol., vol. 5, pp. 445–454, 2012.
[23] O. Claveria and S. Torra, “Forecasting tourism demand to Catalonia: Neural networks vs. time series models,” Econ. Model., vol. 36, pp. 220–228, 2014.
[24] O. Claveria, E. Monte, and S. Torra, “Combination forecasts of tourism demand with machine learning models,” Appl. Econ. Lett., vol. 23, no. 6, pp. 428–431, 2016.
[25] L. Q. Nguyen, P. O. Fernandes, and J. P. Teixeira, “Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks,” Forecasting, vol. 4, no. 1, pp. 36–50, 2021.
[26] M. Hu, H. Li, H. Song, X. Li, and R. Law, “Tourism demand forecasting using tourist-generated online review data,” Tour. Manag., vol. 90, p. 104490, 2022.
[27] E. Park, J. Park, and M. Hu, “Tourism demand forecasting with online news data mining,” Ann. Tour. Res., vol. 90, p. 103273, 2021.
[28] Y. C. Hu, and G. Wu, “The impact of Google Trends index and encompassing tests on forecast combinations in tourism,” Tour. Rev., no. ahead-of-print, 2022.
[29] K. K. F. Wong, H. Song, S. F. Witt, and D. C. Wu, “Tourism forecasting: to combine or not to combine?,” Tour. Manag., vol. 28, no. 4, pp. 1068–1078, 2007.
[30] A. G. Woodside, and D. Martin, Tourism management: analysis, behaviour and strategy. Cabi, 2008.
[31] Y. Wang, “The tourism demand of nonlinear combination forecasting based on time series method and WNN,” Int. J. u-and e-Service, Sci. Technol., vol. 8, no. 3, pp. 301–310, 2015.
[32] Y. C. Hu, G. Wu, and P. Jiang, “Tourism demand forecasting using nonadditive forecast combinations,” J. Hosp. Tour. Res., p. 10963480211047856, 2021.
[33] T. M. Mitchell, and T. M. Mitchell, Machine learning, vol. 1, no. 9. McGraw-hill New York, 1997.
Elaheh Malekzadeh Hamedani received her MSc degree in Electronic Commerce from University of Isfahan, Iran, in 2016. Her research interests include data mining, recommender systems, user modeling, and personalization.
Marjan Kaedi is an Associate Professor at the Faculty of Computer Engineering, University of Isfahan, Iran. She received her Ph.D. degree in Computer Engineering from University of Isfahan in 2012. She is currently the leader of Electronic Commerce Research Lab and her current research interests include user modeling, recommender systems, and machine learning.
Zahra Zojaji received Ph.D. degree in artificial intelligence field from Amirkabir University of Technology, Tehran, Iran, in 2017. She is now an assistant professor in Software Engineering branch in University of Isfahan. Her main research interests include machine Learning, data mining, social network analysis, evolutionary computations and genetic programming.