Travel Domain

Research in the travel domain focuses on leveraging advancements in artificial intelligence to enhance various aspects of the travel experience, from personalized recommendations and itinerary planning to sentiment analysis of user reviews and efficient search query understanding. Current efforts utilize large language models (LLMs), contrastive learning, and evolutionary game theory to improve the accuracy and personalization of travel-related services, often incorporating knowledge graphs and multimodal data. These advancements have significant implications for the tourism industry, enabling more effective marketing, improved customer satisfaction, and optimized resource allocation.