Construction of Educational Tourism Seeking Prediction Model in the Context of Smart Tourism

[1]Recuero Virto, N. (2023). Tourism Talent Shortage in the Fourth Industrial Revolution. In International Handbook of Skill, Education, Learning, and Research Development in Tourism and Hospitality (pp. 1-12). Singapore: Springer Nature Singapore. Recuero VirtoN. (2023). Tourism Talent Shortage in the Fourth Industrial Revolution. In International Handbook of Skill, Education, Learning, and Research Development in Tourism and Hospitality (pp. 1-12). Singapore: Springer Nature Singapore.Search in Google Scholar

[2]Chen, X., & Yu, S. (2023). Synergizing Culture and Tourism Talents: Empowering Tourism Enterprises for Success. Journal of the Knowledge Economy, 1-33. ChenX. & YuS. (2023). Synergizing Culture and Tourism Talents: Empowering Tourism Enterprises for Success. Journal of the Knowledge Economy, 1-33.Search in Google Scholar

[3]Zhao, H. (2021). Diversified education strategies and objectives for advanced tourism talents. International Journal of Emerging Technologies in Learning (iJET), 16(20), 148-162. ZhaoH. (2021). Diversified education strategies and objectives for advanced tourism talents. International Journal of Emerging Technologies in Learning (iJET), 16(20), 148-162.Search in Google Scholar

[4]Gao, X., Gao, Y., & Zhao, A. (2019). A training mode for innovative and entrepreneurial talents in tourism management in the era of internet plus. Journal of Landscape Research, 11(5), 95-98. GaoX., GaoY. & ZhaoA. (2019). A training mode for innovative and entrepreneurial talents in tourism management in the era of internet plus. Journal of Landscape Research, 11(5), 95-98.Search in Google Scholar

[5]Wei, T. (2022). Research on the Training Mode of “Double Innovation Talents” in Tourism Management. Tourism Management and Technology Economy, 5, 64-69. WeiT. (2022). Research on the Training Mode of “Double Innovation Talents” in Tourism Management. Tourism Management and Technology Economy, 5, 64-69.Search in Google Scholar

[6]Shi, Y., Bao, X., & Ma, C. (2020). Suggestions on talent cultivation reform of tourism management major in universities. Journal of International Education and Development Vol, 4(3). ShiY., BaoX. & MaC. (2020). Suggestions on talent cultivation reform of tourism management major in universities. Journal of International Education and Development Vol, 4(3).Search in Google Scholar

[7]Cao, M. (2016, January). A Study of Applied Talents Training Model in Undergraduate Tourism Management in Local Universities—A Case Study of Xinyang Normal University. In International Conference on Education, Management, Computer and Society (pp. 986-990). Atlantis Press. CaoM. (2016, January). A Study of Applied Talents Training Model in Undergraduate Tourism Management in Local Universities—A Case Study of Xinyang Normal University. In International Conference on Education, Management, Computer and Society (pp. 986-990). Atlantis Press.Search in Google Scholar

[8]Unković, S. (2017). Talent development and education in tourism. The European Journal of Applied Economics, 14(2). UnkovićS. (2017). Talent development and education in tourism. The European Journal of Applied Economics, 14(2).Search in Google Scholar

[9]Wei, A. (2023). Research on Interdisciplinary Digital Talent Cultivation Path of Tourism Management Major Specialties. Journal of Education and Educational Research, 6(2), 92-96. WeiA. (2023). Research on Interdisciplinary Digital Talent Cultivation Path of Tourism Management Major Specialties. Journal of Education and Educational Research, 6(2), 92-96.Search in Google Scholar

[10]Luo, C., Chen, H., & Yu, T. (2020, July). The construction strategy of talent cultivation system for tourism informatization in the era of Internet+. In Journal of Physics: Conference Series (Vol. 1578, No. 1, p. 012019). IOP Publishing. LuoC., ChenH. & YuT. (2020, July). The construction strategy of talent cultivation system for tourism informatization in the era of Internet+. In Journal of Physics: Conference Series (Vol. 1578, No. 1, p. 012019). IOP Publishing.Search in Google Scholar

[11]Zheng, H. (2023). Research on Strategies for Introducing and Cultivating High Quality Young Talents in Culture and Tourism in Jiangxi Province. Journal of Human Resource Development, 5(6), 89-94. ZhengH. (2023). Research on Strategies for Introducing and Cultivating High Quality Young Talents in Culture and Tourism in Jiangxi Province. Journal of Human Resource Development, 5(6), 89-94.Search in Google Scholar

[12]Hongxia, D. O. N. G., Chen, L., & Shuzhen, P. E. N. G. (2020). Construction of Early Warning Mechanism of Tourism Talent Training. Journal of Landscape Research, 12(4). HongxiaD. O. N. G., ChenL. & ShuzhenP. E. N. G. (2020). Construction of Early Warning Mechanism of Tourism Talent Training. Journal of Landscape Research, 12(4).Search in Google Scholar

[13]Xiaoping, C. H. E. N. (2019). The Research about Talent Service Need Indicator System and Supply Strategy. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 32(3), 42-49. XiaopingC. H. E. N. (2019). The Research about Talent Service Need Indicator System and Supply Strategy. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 32(3), 42-49.Search in Google Scholar

[14]Fan, H. (2021, February). Research on hubei tourism talent demand and university tourism education training model based on computer big data mining technology. In Journal of Physics: Conference Series (Vol. 1744, No. 3, p. 032090). IOP Publishing. FanH. (2021, February). Research on hubei tourism talent demand and university tourism education training model based on computer big data mining technology. In Journal of Physics: Conference Series (Vol. 1744, No. 3, p. 032090). IOP Publishing.Search in Google Scholar

[15]Yang, G. (2018, March). Analysis on Training Modes of Applied Talents of Tourism Management Major in Colleges. In 2nd International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2018) (pp. 373-375). Atlantis Press. YangG. (2018, March). Analysis on Training Modes of Applied Talents of Tourism Management Major in Colleges. In 2nd International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2018) (pp. 373-375). Atlantis Press.Search in Google Scholar

[16]Li, T., Wang, Y., Zhang, Y., Tan, X., & Yin, Y. (2023). Research on the Construction of Talent Team to Promote the Development of Cultural and Tourism Industry in Shandong. Open Access Library Journal, 10(11), 1-9. LiT., WangY., ZhangY., TanX. & YinY. (2023). Research on the Construction of Talent Team to Promote the Development of Cultural and Tourism Industry in Shandong. Open Access Library Journal, 10(11), 1-9.Search in Google Scholar

[17]Liu, X. R. (2019, February). Research on the model of foreign tourism talents training based on market demand. In Proceedings of 2019 5th International Workshop on Education, Development and Social Sciences (IWEDSS 2019), Tokyo (Vol. 22, pp. 132-136). LiuX. R. (2019, February). Research on the model of foreign tourism talents training based on market demand. In Proceedings of 2019 5th International Workshop on Education, Development and Social Sciences (IWEDSS 2019), Tokyo (Vol. 22, pp. 132-136).Search in Google Scholar

[18]Li, Y., & Jiang, Q. J. (2017). Demand forecasting and information platform in tourism. Open Physics, 15(1), 247-252. LiY. & JiangQ. J. (2017). Demand forecasting and information platform in tourism. Open Physics, 15(1), 247-252.Search in Google Scholar

[19]Song, H., & Liu, H. (2017). Predicting tourist demand using big data. Analytics in smart tourism design: Concepts and methods, 13-29. SongH. & LiuH. (2017). Predicting tourist demand using big data. Analytics in smart tourism design: Concepts and methods, 13-29.Search in Google Scholar

[20]Li, X., Zhang, X., Zhang, C., & Wang, S. (2024). Forecasting tourism demand with a novel robust decomposition and ensemble framework. Expert Systems with Applications, 236, 121388. LiX., ZhangX., ZhangC. & WangS. (2024). Forecasting tourism demand with a novel robust decomposition and ensemble framework. Expert Systems with Applications, 236, 121388.Search in Google Scholar

[21]Bi, J. W., Li, H., & Fan, Z. P. (2021). Tourism demand forecasting with time series imaging: A deep learning model. Annals of tourism Research, 90, 103255. BiJ. W., LiH. & FanZ. P. (2021). Tourism demand forecasting with time series imaging: A deep learning model. Annals of tourism Research, 90, 103255.Search in Google Scholar

[22]Zaitseva, N. A., Larionova, A. A., Minervin, I. G., Yakimenko, R. V., & Balitskaya, I. V. (2015). Foresight technologies usage in working out long term. Forecasts of service and tourism personnel training system development. Journal of Environmental Management and Tourism, 6(2), 410-417. ZaitsevaN. A., LarionovaA. A., MinervinI. G., YakimenkoR. V. & BalitskayaI. V. (2015). Foresight technologies usage in working out long term. Forecasts of service and tourism personnel training system development. Journal of Environmental Management and Tourism, 6(2), 410-417.Search in Google Scholar

[23]Shamsiddinovich, S. S. (2024). TRAINING OF PERSONNEL IN THE FIELD OF TOURISM. Gospodarka i Innowacje., 48, 292-297. ShamsiddinovichS. S. (2024). TRAINING OF PERSONNEL IN THE FIELD OF TOURISM. Gospodarka i Innowacje., 48, 292-297.Search in Google Scholar

[24]Hu Gao, Lei Zhuang, Chenxi Li, Weixin Qian, Jiankai Dong, Lin Liu & Jing Liu. (2025). Fast prediction of three-dimensional indoor flow fields by a reduced dimensional deep-learning approach. Building and Environment 112517-112517. GaoHu, ZhuangLei, LiChenxi, QianWeixin, DongJiankai, LiuLin & LiuJing. (2025). Fast prediction of three-dimensional indoor flow fields by a reduced dimensional deep-learning approach. Building and Environment 112517-112517.Search in Google Scholar

[25]S. Anjali Devi, M. Sitha Ram, Pulugu Dileep, Sasibhushana Rao Pappu, T. Subha Mastan Rao & Mula Malyadri. (2025). Positional-attention based bidirectional deep stacked AutoEncoder for aspect based sentimental analysis. Big Data Research 100505-100505. DeviS. Anjali, RamM. Sitha, DileepPulugu, PappuSasibhushana Rao, Mastan RaoT. Subha & MalyadriMula. (2025). Positional-attention based bidirectional deep stacked AutoEncoder for aspect based sentimental analysis. Big Data Research 100505-100505.Search in Google Scholar

[26]Nadia Ali Ayyed & Adnan Mostafa Al Sinjary. (2025). Comparison of Some Optimizers in Long Short-Term Memory Networks with an Application to Tigris River Water Imports. Asian Journal of Probability and Statistics(1), 56-68. AyyedNadia Ali & Al SinjaryAdnan Mostafa. (2025). Comparison of Some Optimizers in Long Short-Term Memory Networks with an Application to Tigris River Water Imports. Asian Journal of Probability and Statistics(1), 56-68.Search in Google Scholar

[27]Hajar Ahmadieh, Farnaz Ghassemi & Mohammad Hassan Moradi. (2025). EEG Signals Classification Related to Visual Objects Using Long Short-Term Memory Network and Nonlinear Interval Type-2 Fuzzy Regression. Brain Topography(2), 20-20. AhmadiehHajar, GhassemiFarnaz & MoradiMohammad Hassan. (2025). EEG Signals Classification Related to Visual Objects Using Long Short-Term Memory Network and Nonlinear Interval Type-2 Fuzzy Regression. Brain Topography(2), 20-20.Search in Google Scholar

[28]Yang Yulei, Zhang Shuming, Su Kaisen & Fang Ruiming. (2023). Early warning of stator winding overheating fault of water-cooled turbogenerator based on SAE-LSTM and sliding window method. Energy Reports(S2), 199-207. YuleiYang, ShumingZhang, KaisenSu & RuimingFang. (2023). Early warning of stator winding overheating fault of water-cooled turbogenerator based on SAE-LSTM and sliding window method. Energy Reports(S2), 199-207.Search in Google Scholar