Search Results for author: Shengjun Pan

Found 4 papers, 1 papers with code

An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions

no code implementations12 Jul 2021 Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores

Since 2019, most ad exchanges and sell-side platforms (SSPs), in the online advertising industry, shifted from second to first price auctions.

Bid Shading by Win-Rate Estimation and Surplus Maximization

no code implementations19 Sep 2020 Shengjun Pan, Brendan Kitts, Tian Zhou, Hao He, Bharatbhushan Shetty, Aaron Flores, Djordje Gligorijevic, Junwei Pan, Tingyu Mao, San Gultekin, Jianlong Zhang

We found that bid shading, in general, can deliver significant value to advertisers, reducing price per impression to about 55% of the unshaded cost.

Attribute

Bid Shading in The Brave New World of First-Price Auctions

no code implementations2 Sep 2020 Djordje Gligorijevic, Tian Zhou, Bharatbhushan Shetty, Brendan Kitts, Shengjun Pan, Junwei Pan, Aaron Flores

Online auctions play a central role in online advertising, and are one of the main reasons for the industry's scalability and growth.

Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising

5 code implementations9 Jun 2018 Junwei Pan, Jian Xu, Alfonso Lobos Ruiz, Wenliang Zhao, Shengjun Pan, Yu Sun, Quan Lu

The data involved in CTR prediction are typically multi-field categorical data, i. e., every feature is categorical and belongs to one and only one field.

Click-Through Rate Prediction

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