Deep Learning for Predictive Travel Planning: Challenges and Opportunities

Le résumé fourni par la source

With the rapid development of artificial intelligence technology, deep learning has shown great potential in many fields, and travel planning is no exception. This paper explores the diverse applications of deep learning in travel planning, covering weather forecasting, route planning, and travel destination recommendations. By comparing and analyzing various deep learning-based algorithm models, this study reveals their significant advantages and potential challenges in enhancing the accuracy, personalization, and efficiency of travel planning. It aims to provide innovative ideas and practical references for the field of travel planning, and to help achieve smarter, more convenient, and more efficient travel planning services.

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