Abstract
In recent years, the state and local governments attach great importance to the development of big tourism data, and put forward the strategy of developing the “Internet plus tourism” actively, and cultivate various forms of new tourism. This study uses the online travel user data that is booming to analyze the real travel behavior and demand of online tourists, and provide a decision-making basis for optimizing the allocation of tourism facilities, improving public services, improving the satisfaction of tourist users, improving the service level of tourism enterprises, and promoting the Internet plus tourism development strategy.
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Xu, J., Xu, J. (2022). Research on the Design of Online Travel Service Recommendation System Based on Data Analysis. In: J. Jansen, B., Liang, H., Ye, J. (eds) International Conference on Cognitive based Information Processing and Applications (CIPA 2021). Lecture Notes on Data Engineering and Communications Technologies, vol 84. Springer, Singapore. https://doi.org/10.1007/978-981-16-5857-0_132
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DOI: https://doi.org/10.1007/978-981-16-5857-0_132
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Online ISBN: 978-981-16-5857-0
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