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The autobidding system generates huge revenue for advertising platforms, garnering substantial research attention. Existing studies in autobidding systems focus on designing Autobidding Incentive Compatible (AIC) mechanisms, where the…

Computer Science and Game Theory · Computer Science 2024-11-21 Bingzhe Wang , Ruohan Qian , Yuejia Dou , Qi Qi , Bo Shen , Changyuan Li , Yixuan Zhang , Yixin Su , Xin Yuan , Wenqiang liu , Bin Zou , Wen Yi , Zhi Guo , Shuanglong Li , Liu Lin

Online advertising is progressively moving towards a programmatic model in which ads are matched to actual interests of individuals collected as they browse the web. Letting the huge debate around privacy aside, a very important question in…

Computer Science and Game Theory · Computer Science 2017-09-26 Panagiotis Papadopoulos , Nicolas Kourtellis , Pablo Rodriguez Rodriguez , Nikolaos Laoutaris

Copyright detection is an effective method to prevent piracy. However, untrustworthy detection parties may lead to falsified detection results. Due to its credibility and tamper resistance, blockchain has been applied to copyright…

Cryptography and Security · Computer Science 2022-08-25 Zhili Chen , Yuting Wang , Tianjiao Ni

Ad platforms require reliable measurement of advertising returns: what increase in performance (such as clicks or conversions) can an advertiser expect in return for additional budget on the platform? Even from the perspective of the…

Econometrics · Economics 2022-07-04 Johannes Hermle , Giorgio Martini

A reader browsing through an online article is highly likely to encounter an advertorial, often without realizing it. Advertorials represent a relatively new marketing strategy where advertisements are deliberately designed to resemble the…

Computers and Society · Computer Science 2026-02-16 Emmanouil Papadogiannakis , Panagiotis Papadopoulos , Nicolas Kourtellis , Evangelos Markatos

Online trackers personalize ads campaigns, exponentially increasing their efficacy compared to traditional channels. The downside of this is that thousands of mostly unknown systems own our profiles and violate our privacy without our…

Networking and Internet Architecture · Computer Science 2020-01-20 Maurizio Aiello , Enrico Cambiaso , Roberto Canonico , Leonardo Maccari , Marco Mellia , Antonio Pescapè , Ivan Vaccari

Limited access to computing resources and training data poses significant challenges for individuals and groups aiming to train and utilize predictive machine learning models. Although numerous publicly available machine learning models…

Machine Learning · Computer Science 2023-07-31 Matthew T. Pisano , Connor J. Patterson , Oshani Seneviratne

Causally identifying the effect of digital advertising is challenging, because experimentation is expensive, and observational data lacks random variation. This paper identifies a pervasive source of naturally occurring, quasi-experimental…

Econometrics · Economics 2022-02-18 George Gui , Harikesh Nair , Fengshi Niu

Online advertising platforms are thriving due to the customizable audiences they offer advertisers. However, recent studies show that advertisements can be discriminatory with respect to the gender or race of the audience that sees the ad,…

Computer Science and Game Theory · Computer Science 2019-05-23 L. Elisa Celis , Anay Mehrotra , Nisheeth K. Vishnoi

Payment channels networks drastically increase the throughput and hence scalability of blockchains by performing transactions \emph{off-chain}. In an off-chain payment, parties deposit coins in a channel and then perform transactions…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-12-21 Yuup van Engelshoven , Stefanie Roos

Payment channels effectively move the transaction load off-chain thereby successfully addressing the inherent scalability problem most cryptocurrencies face. A major drawback of payment channels is the need to ``top up'' funds on-chain when…

Cryptography and Security · Computer Science 2021-10-19 Zeta Avarikioti , Krzysztof Pietrzak , Iosif Salem , Stefan Schmid , Samarth Tiwari , Michelle Yeo

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 between these auctions, demand-side platforms (DSPs) have had…

In the classic Adwords problem introduced by Mehta et al.\ (2007), we have a bipartite graph between advertisers and queries. Each advertiser has a maximum budget that is known a priori. Queries are unknown a priori and arrive sequentially.…

Data Structures and Algorithms · Computer Science 2024-03-29 Rajan Udwani

Blockchain technology promises to democratize finance and promote social equity through decentralization, but questions remain about whether current implementations advance or hinder these goals. Through a mixed-methods study combining…

Human-Computer Interaction · Computer Science 2025-05-13 Faisal Haque Bappy , EunJeong Cheon , Tariqul Islam

Online advertisement is the main source of revenue for Internet business. Advertisers are typically ranked according to a score that takes into account their bids and potential click-through rates(eCTR). Generally, the likelihood that a…

Machine Learning · Statistics 2018-07-06 Lulu Wang , Huahui Liu , Guanhao Chen , Shaola Ren , Xiaonan Meng , Yi Hu

Over the past few years, there has been a growth in activity, public knowledge, and awareness of cryptocurrencies and related blockchain technology. As the industry has grown, there has also been an increase in scams looking to steal…

Cryptography and Security · Computer Science 2020-06-01 R. Phillips , H. Wilder

This research study focuses primarily on Block-Chain-based voting systems, which facilitate participation in and administration of voting for voters, candidates, and officials. Because we used Block-Chain in the backend, which enables…

Machine Learning · Computer Science 2023-03-14 Jagbeer Singh , Utkarsh Rastogi , Yash Goel , Brijesh Gupta , Utkarsh

In digital online advertising, advertisers procure ad impressions simultaneously on multiple platforms, or so-called channels, such as Google Ads, Meta Ads Manager, etc., each of which consists of numerous ad auctions. We study how an…

Computer Science and Game Theory · Computer Science 2023-06-16 Yuan Deng , Negin Golrezaei , Patrick Jaillet , Jason Cheuk Nam Liang , Vahab Mirrokni

For e-commerce platforms such as Taobao and Amazon, advertisers play an important role in the entire digital ecosystem: their behaviors explicitly influence users' browsing and shopping experience; more importantly, advertiser's expenditure…

Social and Information Networks · Computer Science 2020-09-01 Liyi Guo , Rui Lu , Haoqi Zhang , Junqi Jin , Zhenzhe Zheng , Fan Wu , Jin Li , Haiyang Xu , Han Li , Wenkai Lu , Jian Xu , Kun Gai

There are a large number of competing ADXs on the Internet. It is the primary demand to identify and compare the advertising performance of ADX. Traditional method relies on training artificial online personas to represent behavioral…

Computers and Society · Computer Science 2018-03-19 Nanxi Huang , Chunxi Li , Yongxiang Zhao , Yuchun Guo