airbnb   5310

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Fighting Financial Fraud with Targeted Friction – Airbnb Engineering & Data Science – Medium
In this post, I’ll walk through how we leverage machine learning, experimentation, and analytics to identify and block fraudsters while minimizing impact on the overwhelming majority of good users. First, I’ll introduce our use of machine-learning (ML) models to trigger frictions targeted at blocking fraudsters. Then, I’ll outline how we choose the model’s threshold by minimizing a loss function, and dive into each term in the loss function: the costs of false positives, false negatives, and true positives. Finally, I’ll walk through a numerical example comparing the optimization of blocking transactions versus applying a friction.
fraud  airbnb  machinelearning 
3 days ago by moonhouse
Airbnb and the Unintended Consequences of Disruption - The Atlantic
Personally, I'd be okay with AirBnB being shut down in NYC. New Yorkers need places to live more than tourists need a faux “NYC living” experience.
AirBnB  Housing  Rental  Hospitality 
3 days ago by Membranophonist
Airbnb and the Unintended Consequences of Disruption - The Atlantic
Tech analysts are prone to predicting utopia or dystopia. They’re worse at imagining the side effects of a firm's success.
economy  responsibility  business  disruption  hotel  innovation  rental  airbnb 
5 days ago by toastednut

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