Abstract
With the rapid development of my country’s economy and the continuous improvement of people's living standards, the hotel industry has developed rapidly, and more and more star-rated luxury modern high-end products have appeared. How to improve the hotel's service level and work efficiency is a very important issue. To this end, this article intends to start with machine learning technology to conduct intelligent research on hotels. The research purpose of this article is to improve the management service level and work efficiency of the hotel. This article mainly uses experimental testing and comparison methods to analyze the performance of the hotel's intelligent system. Compare the time and load capacity of the system with the user's expected value, highlighting the characteristics of the system's performance. The experimental results show that the time-consuming of the system is less than 0.7, and the carrying capacity is 29 more on average. This is enough to show the feasibility of the hotel's intelligent system.
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Yu, Y. (2022). Hotel Intelligent System Design Based on Machine Learning Technology. In: Sugumaran, V., Sreedevi, A.G., Xu , Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 138. Springer, Cham. https://doi.org/10.1007/978-3-031-05484-6_13
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DOI: https://doi.org/10.1007/978-3-031-05484-6_13
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