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We consider an online matching problem with concave returns. This problem is a significant generalization of the Adwords allocation problem and has vast applications in online advertising. In this problem, a sequence of items arrive…

Data Structures and Algorithms · Computer Science 2015-06-09 Xiao Alison Chen , Zizhuo Wang

Many tracking companies collect user data and sell it to data markets and advertisers. While they claim to protect user privacy by anonymizing the data, our research reveals that significant privacy risks persist even with anonymized data.…

Cryptography and Security · Computer Science 2026-02-12 Ruisheng Shi , Zhiyuan Peng , Tong Fu , Lina Lan , Qin Wang , Jiaqi Zeng

The increasing impact of algorithmic decisions on people's lives compels us to scrutinize their fairness and, in particular, the disparate impacts that ostensibly-color-blind algorithms can have on different groups. Examples include credit…

Machine Learning · Statistics 2020-06-17 Nathan Kallus , Xiaojie Mao , Angela Zhou

Increasingly large trip demands have strained urban transportation capacity, which consequently leads to traffic congestion and rapid growth of greenhouse gas emissions. In this work, we focus on achieving sustainable transportation by…

Computers and Society · Computer Science 2019-12-09 Luyao Niu , Andrew Clark

In this paper we look at content placement in the high-dimensional regime: there are n servers, and O(n) distinct types of content. Each server can store and serve O(1) types at any given time. Demands for these content types arrive, and…

Networking and Internet Architecture · Computer Science 2014-12-22 Sharayu Moharir , Javad Ghaderi , Sujay Sanghavi , Sanjay Shakkottai

Sponsored search represents a major source of revenue for web search engines. This popular advertising model brings a unique possibility for advertisers to target users' immediate intent communicated through a search query, usually by…

Within hospitality, marketing departments use segmentation to create tailored strategies to ensure personalized marketing. This study provides a data-driven approach by segmenting guest profiles via hierarchical clustering, based on an…

Machine Learning · Computer Science 2021-11-05 Rik van Leeuwen , Ger Koole

On the modern web, trackers and advertisers frequently construct and monetize users' detailed behavioral profiles without consent. Despite various studies on web tracking mechanisms and advertisements, there has been no rigorous study…

Computers and Society · Computer Science 2023-12-12 Zahra Moti , Asuman Senol , Hamid Bostani , Frederik Zuiderveen Borgesius , Veelasha Moonsamy , Arunesh Mathur , Gunes Acar

Existing fair ranking systems, especially those designed to be demographically fair, assume that accurate demographic information about individuals is available to the ranking algorithm. In practice, however, this assumption may not hold --…

Information Retrieval · Computer Science 2026-02-09 Avijit Ghosh , Ritam Dutt , Christo Wilson

Web tracking is a pervasive and opaque practice that enables personalized advertising, retargeting, and conversion tracking. Over time, it has evolved into a sophisticated and invasive ecosystem, employing increasingly complex techniques to…

We develop a framework for the analysis of large-scale Ad-auctions where adverts are assigned over a continuum of search types. For this pay-per-click market, we provide an efficient mechanism that maximizes social welfare. In particular,…

Computer Science and Game Theory · Computer Science 2016-06-03 Frank Kelly , Peter Key , Neil Walton

Due to the involvement of multiple intermediaries without trusted parties, lack of proper regulations, and a complicated supply chain, ad impression discrepancy affects online advertising. This issue causes up to $82 billion annual revenue…

Cryptography and Security · Computer Science 2024-10-22 Behkish Nassirzadeh , Albert Heinle , Stefanos Leonardos , Anwar Hasan , Vijay Ganesh

In the age of data driven solution, the customer demographic attributes, such as gender and age, play a core role that may enable companies to enhance the offers of their services and target the right customer in the right time and place.…

Machine Learning · Computer Science 2019-03-19 Ibrahim Mousa AlZuabi , Assef Jafar , Kadan Aljoumaa

Online advertising relies on a complex and opaque supply chain that involves multiple stakeholders, including advertisers, publishers, and ad-networks, each with distinct and sometimes conflicting incentives. Recent research has…

Cryptography and Security · Computer Science 2026-04-06 Yash Vekaria , Rishab Nithyanand , Zubair Shafiq

Algorithmic predictions are increasingly used to inform the allocation of scarce resources. The promise of these methods is that, through machine learning, they can better identify the people who would benefit most from interventions.…

Cryptography and Security · Computer Science 2026-04-24 Ben Jacobsen , Nitin Kohli

Major deployed generative AI advertising systems preserve a visible boundary between commercial content and AI-generated responses. Yet empirical research shows that ads woven directly into large language model (LLM) outputs often go…

Computers and Society · Computer Science 2026-05-19 Jingyi Qiu , Qiaozhu Mei

Google Search is an important way that people seek information about politics, and Google states that it is ``committed to providing timely and authoritative information on Google Search to help voters understand, navigate, and participate…

Computers and Society · Computer Science 2024-06-18 Brooke Perreault , Johanna Lee , Ropafadzo Shava , Eni Mustafaraj

Whistleblower laws protect individuals who inform the public or an authority about governmental or corporate misconduct. Despite these laws, whistleblowers frequently risk reprisals and sites such as WikiLeaks emerged to provide a level of…

Cryptography and Security · Computer Science 2013-01-29 Volker Roth , Benjamin Güldenring , Eleanor Rieffel , Sven Dietrich , Lars Ries

Social media platforms offer unprecedented opportunities for connectivity and exchange of ideas; however, they also serve as fertile grounds for the dissemination of disinformation. Over the years, there has been a rise in state-sponsored…

Computers and Society · Computer Science 2024-07-26 Mohammad Hammas Saeed , Shiza Ali , Pujan Paudel , Jeremy Blackburn , Gianluca Stringhini

We study statistical discrimination of individuals based on payoff-irrelevant social identities in markets that utilize ratings and recommendations for social learning. Even though rating/recommendation algorithms can be designed to be fair…

Computer Science and Game Theory · Computer Science 2024-11-11 Yeon-Koo Che , Kyungmin Kim , Weijie Zhong
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