Abstract
“Smart tourism” is the main task and hot research issue of the informatization construction of China’s tourism industry. Its “wisdom” is reflected in the “wisdom of tourism service”, “wisdom of tourism management” and “wisdom of tourism marketing”. Tourism service recommendation is a popular marketing strategy in today’s tourism industry, which has been widely studied. To some extent, it is the embodiment of wisdom. Nowadays, tourism data is becoming more and more huge, and the storage and processing of these data has become a difficult problem. At the same time, for information retrieval, search engines can not meet the diversified and personalized needs of users, and can not effectively solve the problem of information load. As another way to solve the information load, recommendation engine can not only find suitable or potential information for users through recommendation technology, but also bring better experience for users. But facing the challenge of big data, we need a new platform and appropriate and effective algorithm to deal with it.
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References
Yang, L., Wu, N.: Discussion on the natural adaptability of tourism industry and e-commerce. J. Chongqing Bus. Univ. (Soc. Sci. Ed.) 20(06), 97–100 (2003)
Guoxia, W., Heping, L.: Summary of personalized recommendation system. Comput. Eng. Appl. 07, 66–76 (2012)
Xia, P.: Research on Collaborative Filtering Algorithm in Personalized Recommendation Technology. Ocean University of China (2011)
Chen, Y.: Research and Application of Two Personalized Recommendation Algorithms. Jilin University (2007)
Acknowledgements
(1) Inner Mongolia Autonomous Region Project of the 13th five year plan of Education Science in 2019: Research on the Practical Teaching of Hotel Management Specialty and the Cultivation of Entrepreneurship and Innovation Ability in Colleges Based on VBSE [NGJGH2019030];
(2) “The Second National History and Culture Research Special Project” of HulunBuir College:
Research on the Protection of HulunBuir Folk Cultural Heritage and Tourism Development Path from the perspective of cultural and tourism integration [2020MZZC02].
(3) Transverse Project: Research on the Design and Application of Marketing Platform on Travel Agency.
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Jiang, Y., Yu, H., Wang, J. (2021). Design and Application of Tourism Marketing Platform Based on Cloud Computing. In: Abawajy, J., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) 2021 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2021. Advances in Intelligent Systems and Computing, vol 1398. Springer, Cham. https://doi.org/10.1007/978-3-030-79200-8_30
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DOI: https://doi.org/10.1007/978-3-030-79200-8_30
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