activity
20182022
most cited: Field-matrixed Factorization Machines for Recommender Systems

89 citations · 165 across the 9 of their papers we have counts for

collaborators
Showing cs.GTShow all

5 papers · 1 filter

cs.GT2022

Impression Allocation and Policy Search in Display Advertising

Di Wu, Cheng Chen, Xiujun Chen +5

In online display advertising, guaranteed contracts and real-time bidding (RTB) are two major ways to sell impressions for a publisher. For large publishers, simultaneously selling…

cs.GT202129 cited

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

Tian Zhou, Hao He, Shengjun Pan +9

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

cs.GT2021

Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising

Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng +7

In e-commerce advertising, the ad platform usually relies on auction mechanisms to optimize different performance metrics, such as user experience, advertiser utility, and platform…

cs.GT202012 cited

Bid Shading by Win-Rate Estimation and Surplus Maximization

Shengjun Pan, Brendan Kitts, Tian Zhou +8

This paper describes a new win-rate based bid shading algorithm (WR) that does not rely on the minimum-bid-to-win feedback from a Sell-Side Platform (SSP). The method uses a modifi…

cs.GT202023 cited

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

Djordje Gligorijevic, Tian Zhou, Bharatbhushan Shetty +4

Online auctions play a central role in online advertising, and are one of the main reasons for the industry's scalability and growth. With great changes in how auctions are being o…