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InfoQ Homepage Presentations Would You Have Clicked on What We Would Have Recommended?

Would You Have Clicked on What We Would Have Recommended?



Peter B. Golbus describes recent work on the offline estimation of recommender system A/B tests using counterfactual reasoning techniques.


Peter B. Golbus is a Senior Data Scientist at Wayfair. Peter joined Wayfair directly from his Ph.D. program at Northeastern University where he studied the offline evaluation of search engines with Javed A. Aslam. Four years later, he is still at Wayfair, and is now studying the offline evaluation of recommender systems.

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Recorded at:

Mar 19, 2019

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