AIMC Topic: Tourism
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Comprehensive Evaluation of Tourism Resources Based on Multispecies Evolutionary Genetic Algorithm-Enabled Neural Networks.
Computational intelligence and neuroscience
Dec 14, 2021
With the development of neural network technology and the rapid growth of China's tourism economic income at this stage, the research on the comprehensive evaluation of tourism resources has gradually emerged. Based on this, this paper studies the ne...
Determinants of Tourism Stocks During the COVID-19: Evidence From the Deep Learning Models.
Frontiers in public health
Apr 9, 2021
This paper examines the determinants of tourism stock returns in China from October 25, 2018, to October 21, 2020, including the COVID-19 era. We propose four deep learning prediction models based on the Back Propagation Neural Network (BPNN): Quantu...
Applying Internet information technology combined with deep learning to tourism collaborative recommendation system.
PloS one
Dec 3, 2020
Recently, more personalized travel methods have emerged in the tourism industry, such as individual travel and self-guided travel. The service models of traditional tourism limit the diversity of service options and cannot fully meet the individual n...
The linguistic feedback of tourism robots significantly influences visitors' ecotourism behaviors.
Scientific reports
May 8, 2025
With the extensive application of artificial intelligence technology in the tourism industry, robot-assisted tourism has become a vital strategy for enhancing tourist experiences and promoting sustainable tourism practices. This study aims to explore...
How does high temperature weather affect tourists' nature landscape perception and emotions? A machine learning analysis of Wuyishan City, China.
PloS one
Jan 1, 2025
Natural landscapes are crucial resources for enhancing visitor experiences in ecotourism destinations. Previous research indicates that high temperatures may impact tourists' perception of landscapes and emotions. Still, the potential value of natura...
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