This research investigates the impact of artificial intelligence-based recommendation systems on tourists' decision-making processes and satisfaction. Particularly, the study explores how personalized approaches positively influence tourist behavior and overall travel experiences. Through psychological surveys, the effectiveness of travel plans tailored to individual characteristics was analyzed. The findings reveal that personalized recommendation systems not only enhance user experience but also significantly increase tourist satisfaction levels. The research results highlight the future potential of artificial intelligence in the tourism industry.