Design and Optimization of Hotel Management Information System Based on Artificial Intelligence

With the improvement of people’s living standards, traditional hotel management model has been unable to meet needs customers. The also defects low efficiency. is gradually developing towards direction intelligence. combination artificial intelligence technology and can not only improve operation efficiency but solve cost hotel. For customers, bring smarter more comfortable accommodation conditions This study uses convolutional neural network (CNN) long short-term memory (LSTM) in conduct related research on in-store mode, entertainment sleep out-of-store mode management. CNN used extract spatial features management, LSTM temporal results show that help achieve intelligent optimization. techniques better predict factors entry mode. correlated predictions these four modes, maximum prediction error 2.81%. linear correlation coefficient reached above 0.96. relevant parameters are suitable for optimization design information systems.