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Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising
In e-commerce advertising, the ad platform usually relies on auction mec...
12/05/2020 ∙ by Zhilin Zhang, et al. ∙
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Bid Shading by Win-Rate Estimation and Surplus Maximization
This paper describes a new win-rate based bid shading algorithm (WR) tha...
09/19/2020 ∙ by Shengjun Pan, et al. ∙
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Bid Shading in The Brave New World of First-Price Auctions
Online auctions play a central role in online advertising, and are one o...
09/02/2020 ∙ by Djordje Gligorijevic, et al. ∙
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A Sparse Deep Factorization Machine for Efficient CTR prediction
Click-through rate (CTR) prediction is a crucial task in online display ...
02/17/2020 ∙ by Wei Deng, et al. ∙
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A Batched Multi-Armed Bandit Approach to News Headline Testing
Optimizing news headlines is important for publishers and media sites. A...
08/17/2019 ∙ by Yizhi Mao, et al. ∙
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Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising
Conversion prediction plays an important role in online advertising sinc...
07/24/2019 ∙ by Junwei Pan, et al. ∙
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Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising
Click-through rate (CTR) prediction is a critical task in online display...
06/09/2018 ∙ by Junwei Pan, et al. ∙
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