Abstract
The traditional information management model has poor data transmission efficiency in the process of pushing information services. To solve this problem, this paper designs a hotel marketing information management model based on deep learning. Using Oracle relational database and MVC architecture to build a marketing information database, then use deep learning to extract information features, and classify marketing information of different service categories, connect hotel management and client, and integrate model management functions to provide information services for hotel managers and customers. The experimental results show that the data throughput and transmission rate of the above model are higher than those of the traditional model, and the information transmission efficiency is improved.
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Acknowledgments
Hubei Provincial Educational Science Program: “A Research into the Cultivation Model of Practical Personnel in Hubei Provincial Universities from the Perspective of Regional Industry Clusters” (2017GB154).
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Tong, L., Wang, F. (2021). Design of Hotel Marketing Information Management Model Based on Deep Learning. In: Fu, W., Xu, Y., Wang, SH., Zhang, Y. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-030-82562-1_28
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DOI: https://doi.org/10.1007/978-3-030-82562-1_28
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