What factors predict the satisfaction ratings of Airbnb users in ten European cities: a machine learning approach

Key Points

• Satisfaction ratings are significantly influenced by predictive factors derived from machine learning algorithms.
• The analysis reveals that amenities, location, and communication greatly impact user satisfaction ratings.
• Observational analysis encompassing ten European cities was employed to collect extensive user feedback and data.
• These findings suggest that understanding factors influencing satisfaction may enhance service quality for hosts.