TravelAgent: An AI Assistant for Personalized Travel Planning

• URL: http://arxiv.org/abs/2409.08069v1
• Date: Thu, 12 Sep 2024 14:24:45 GMT
• Title: TravelAgent: An AI Assistant for Personalized Travel Planning
• Authors: Aili Chen, Xuyang Ge, Ziquan Fu, Yanghua Xiao, Jiangjie Chen,
• Abstract summary: We introduce TravelAgent, a travel planning system powered by large language models (LLMs) TravelAgent comprises four modules: Tool-usage, Recommendation, Planning, and Memory Module. We evaluate TravelAgent's performance with human and simulated users, demonstrating its overall effectiveness in three criteria and confirming the accuracy of personalized recommendations.
• Score: 36.046107116324826
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: As global tourism expands and artificial intelligence technology advances, intelligent travel planning services have emerged as a significant research focus. Within dynamic real-world travel scenarios with multi-dimensional constraints, services that support users in automatically creating practical and customized travel itineraries must address three key objectives: Rationality, Comprehensiveness, and Personalization. However, existing systems with rule-based combinations or LLM-based planning methods struggle to fully satisfy these criteria. To overcome the challenges, we introduce TravelAgent, a travel planning system powered by large language models (LLMs) designed to provide reasonable, comprehensive, and personalized travel itineraries grounded in dynamic scenarios. TravelAgent comprises four modules: Tool-usage, Recommendation, Planning, and Memory Module. We evaluate TravelAgent's performance with human and simulated users, demonstrating its overall effectiveness in three criteria and confirming the accuracy of personalized recommendations.

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