Our paper “Predicting Actions of Users using Heterogeneous Online Signals” has been accepted for publication in the Big Data journal!
Our paper “Efficient deep distribution network for bid shading in First-Price Auctions” has been accepted for publication at the KDD 2021 conference!
We shared prospective conversion prediction datasets of time-ordered user activity trails collected across many different sources on the Web. This dataset is specifically designed for prospective advertising, a specific form of targeting where advertisers wish to target only potential and new users. In the updated version of the dataset retargeting signals are included in the additional…
Our papers “Bid Shading in the Brave New World of First Price Auctions” and “Prospective Modeling of Users for Online Display Advertising via Deep Time-Aware Model” have been accepted for publication for the CIKM 2020 conference!