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Published on Jul 31, 2015
Pricing an Airbnb listing not a straightforward task: demand is seasonal and spikes during events, different neighborhoods and even city blocks vary drastically in attractiveness, and each listing has unique décor, host and reputation. To give hosts better tools to price their listings, we developed in recent months a global model that suggests a uniquely tailored price for each listing and every day of the year. This model is powered by Aerosolve, our flexible Machine Learning stack, that we release as open source. In this presentation we describe our work on pricing Airbnb listings and showcase the ease of using and understanding models generated by Aerosolve.