Text By the Bay 2015: Dave Holtz, Increasing Honesty in Airbnb Reviews





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Published on Jun 15, 2015

Reviews and reputation scores are increasingly important for decision-making, especially in the case of online marketplaces. However, online reviews may not provide an accurate depiction of the characteristics of a product, either because many people do not leave reviews or because some reviewers omit salient information. At Airbnb, we study the causes and magnitude of bias in online reviews by using large-scale field experiments that change the incentives of buyers and sellers to honestly review each other. Natural language processing has allowed us to extend our analyses and study bias in reviews by using the written feedback guests and hosts write after a trip.

Dave Holtz is a data scientist at Airbnb focusing on online reputation, and pricing. Previously, he worked as a data science engineer at Yub (acquired by Coupons.com) and as a data scientist and Product Manager at TrialPay. He is the instructor for Udacity’s Introduction to Data Science course. Dave holds an MA in Physics from The Johns Hopkins University, and a Bachelor’s degree in Physics and Theater from Princeton. In addition to data science, Dave is passionate about cosmology, smart cities, music, theater, and improv comedy. ----------------------------------------------------------------------------------------------------------------------------------------

Scalæ By the Bay 2016 conference


-- is held on November 11-13, 2016 at Twitter, San Francisco, to share the best practices in building data pipelines with three tracks:

* Functional and Type-safe Programming
* Reactive Microservices and Streaming Architectures
* Data Pipelines for Machine Learning and AI


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