Topic editor para frontiers: Guiding the Journey: Innovative Recommender Systems for Personalized Tourism, Travel, and Hospitality Experiences

Abstract

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Tourism, travel, and hospitality heavily rely on recommender systems, which help users navigate through vast options by providing personalized suggestions for destinations, activities, and accommodations. These systems leverage machine learning to enhance the travel planning process, using collaborative and content-based filtering methods. Key challenges include improving recommendation accuracy, solving the cold-start problem for new users, and integrating contextual factors like location and social context. Ongoing research aims to develop more sophisticated algorithms to handle dynamic user preferences and enhance user satisfaction.