30 citations · 71 across the 11 of their papers we have counts for
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cs.LG2020
Comparison Lift: Bandit-based Experimentation System for Online Advertising
Tong Geng, Xiliang Lin, Harikesh S. Nair +3
Comparison Lift is an experimentation-as-a-service (EaaS) application for testing online advertising audiences and creatives at JD.com. Unlike many other EaaS tools that focus prim…
cs.LG2019★ 3 cited
Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments
Tong Geng, Xiliang Lin, Harikesh S. Nair
Firms implementing digital advertising campaigns face a complex problem in determining the right match between their advertising creatives and target audiences. Typical solutions t…
cs.LG2019★ 2 cited
Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network
Ruihuan Du, Yu Zhong, Harikesh Nair +2
This paper describes a practical system for Multi Touch Attribution (MTA) for use by a publisher of digital ads. We developed this system for JD.com, an eCommerce company, which is…