Machine learning approach sheds new light on hotel customer satisfaction

Customer satisfaction in the service sector, particularly within hospitality, has long been a focal point for both academic research and practical application. Traditional analyses, such as the Kano model and importance-performance analysis (IPA), have offered valuable frameworks but often fall short in capturing the intricate and non-linear nature of the attribute performance-customer satisfaction (AP-CS) relationship.

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