Airbnb Rental

Airbnb rental research focuses on optimizing the platform's functionality and predicting rental prices. Current efforts utilize machine learning, including various regression models (linear, random forest, XGBoost), reinforcement learning, and large language models, to improve search ranking, map-based visualizations, and price prediction accuracy. These advancements aim to enhance user experience by providing more relevant search results and accurate price estimations, while also offering insights into market dynamics and the influence of factors like location, amenities, and textual descriptions. The resulting models have practical applications in revenue optimization for hosts and improved decision-making for guests.

Papers