Uwe Mayer

Uwe Mayer
Research Scientist

Prior to joining eBay, Uwe was a senior research scientist at Yahoo, and before that was a director of Analytic Science at FICO. He has been a professor of mathematics at universities in both the U.S. and in Germany.

Uwe received his MA and PhD in mathematics from the University of Utah where he was a Fulbright scholar, with an extended research stay at the Institute for Advanced Studies at Princeton. He carried out his undergraduate studies with a double major in Mathematics and Computer Sciences in Germany. Bringing his academic career full circle from computer sciences to mathematics back to computers, Uwe also has co-advised a PhD student in data mining at the University of California, San Diego.

Research interests include parallel and distributed computing, text mining, and more generally data mining and machine learning, applied to recommendations and merchandising, and to demand and supply estimations.

Proceedings of the Sixteenth ACM Conference on Economics and Computation (EC '15). ACM, New York, NY, USA (2015)

Canary in the e-Commerce Coal Mine: Detecting and Predicting Poor Experiences Using Buyer-to-Seller Messages

Reputation and feedback systems in online marketplaces are often biased, making it difficult to ascertain the quality of sellers. We use post-transaction, buyer-to-seller message traffic to detect signals of unsatisfactory transactions on eBay. We posit that a message sent after the item was paid for serves as a reliable indicator that the buyer may be unhappy with that purchase, particularly when the message included words associated with a negative experience. The fraction of a seller's message traffic that was negative predicts whether a buyer who transacts with this seller will stop purchasing on eBay, implying that platforms can use these messages as an additional signal of seller quality.