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Related papers: An Empirical Study of Mobile Ad Targeting

200 papers

Advertisements are unavoidable in modern society. Times Square is notorious for its incessant display of advertisements. Its popularity is worldwide and smaller cities possess miniature versions of the display, such as Pittsburgh and its…

Computer Vision and Pattern Recognition · Computer Science 2019-01-30 James Hahn , Adriana Kovashka

Mobile messaging scams--fraudulent messages delivered over SMS and other mobile applications--have become a persistent and evolving security threat, yet the attributes underlying these campaigns remain unclear. This study seeks to address…

Cryptography and Security · Computer Science 2026-05-19 Allison Lu , Bernardo B. P. Medeiros , Kevin R. B. Butler , Patrick Traynor

Online advertising has been the major monetization approach for Internet companies. Advertisers invest budgets to bid for real-time impressions to gain direct and indirect returns. Existing works have been concentrating on optimizing direct…

Computer Science and Game Theory · Computer Science 2019-03-12 Hao Liu , Yunze Li , Qinyu Cao , Guang Qiu , Jiming Chen

Understanding the demographics of app users is crucial, for example, for app developers, who wish to target their advertisements more effectively. Our work addresses this need by studying the predictability of user demographics based on the…

Social and Information Networks · Computer Science 2016-03-02 Eric Malmi , Ingmar Weber

Text-to-image models are appealing for customizing visual advertisements and targeting specific populations. We investigate this potential by examining the demographic bias within ads for different ad topics, and the disparate level of…

Computer Vision and Pattern Recognition · Computer Science 2025-10-20 Aysan Aghazadeh , Adriana Kovashka

With the recent growth of conversational systems and intelligent assistants such as Apple Siri and Google Assistant, mobile devices are becoming even more pervasive in our lives. As a consequence, users are getting engaged with the mobile…

Information Retrieval · Computer Science 2018-07-16 Mohammad Aliannejadi , Hamed Zamani , Fabio Crestani , W. Bruce Croft

This survey examines the most effective retrieval algorithms utilized in ad recommendation and content recommendation systems. Ad targeting algorithms rely on detailed user profiles and behavioral data to deliver personalized…

Information Retrieval · Computer Science 2024-07-22 Yu Zhao , Fang Liu

Mobile devices have access to personal, potentially sensitive data, and there is a large number of mobile applications and third-party libraries that transmit this information over the network to remote servers (including app developer…

Cryptography and Security · Computer Science 2022-06-07 Evita Bakopoulou , Anastasia Shuba , Athina Markopoulou

As a mainstream marketing channel on the Internet, Search Engine Advertising (SEA) has a huge business impact and attracts a plethora of attention from both academia and industry. One important goal of advertising is to increase sales.…

Computers and Society · Computer Science 2020-08-18 Yanwu Yang , Kang Zhao , Daniel Zeng , Bernard Jim Jansen

Prefetching web pages is a well-studied solution to reduce network latency by predicting users' future actions based on their past behaviors. However, such techniques are largely unexplored on mobile platforms. Today's privacy regulations…

Software Engineering · Computer Science 2021-03-25 Yixue Zhao , Siwei Yin , Adriana Sejfia , Marcelo Schmitt Laser , Haoyu Wang , Nenad Medvidovic

Online advertising is the major source of income for a large portion of Internet Services. There exists a body of literature aiming at optimizing ads engagement, understanding the privacy and ethical implications of online advertising, etc.…

Social and Information Networks · Computer Science 2021-02-02 Aritz Arrate , José González Cabañas , Ángel Cuevas , María Calderón , Rubén Cuevas

Traditional sources of population data, such as censuses and surveys, are costly, infrequent, and often unavailable in crisis-affected regions. Mobile phone application data offer near real-time, high-resolution insights into population…

Applications · Statistics 2025-09-04 Carmen Cabrera , Francisco Rowe

Pay-per-click advertising includes various formats (\emph{e.g.}, search, contextual, social) with a total investment of more than 200 billion USD per year worldwide. An advertiser is given a daily budget to allocate over several, even…

Machine Learning · Computer Science 2020-03-04 Alessandro Nuara , Francesco Trovò , Nicola Gatti , Marcello Restelli

Messenger advertisements (ads) give direct and personal user experience yielding high conversion rates and sales. However, people are skeptical about ads and sometimes perceive them as spam, which eventually leads to a decrease in user…

Machine Learning · Computer Science 2020-07-09 Kyuyong Shin , Young-Jin Park , Kyung-Min Kim , Sunyoung Kwon

Prior spending shutoff experiments in search advertising have found that paid ads cannibalize organic traffic. But it is unclear whether the same is true for other high volume advertising channels like mobile display advertising. We…

General Economics · Economics 2025-04-24 Harang Ju , Michael Zhao , Sinan Aral

We undertake a formal study of the value of targeting data to an advertiser. As expected, this value is increasing in the utility difference between realizations of the targeting data and the accuracy of the data, and depends on the…

Computer Science and Game Theory · Computer Science 2014-07-15 Kshipra Bhawalkar , Patrick Hummel , Sergei Vassilvitskii

In online advertising, our aim is to match the advertisers with the most relevant users to optimize the campaign performance. In the pursuit of achieving this goal, multiple data sources provided by the advertisers or third-party data…

Artificial Intelligence · Computer Science 2017-12-01 Sahin Cem Geyik , Jianqiang Shen , Shahriar Shariat , Ali Dasdan , Santanu Kolay

Mobile devices have become ubiquitous tools for communication, entertainment, and productivity, yet battery autonomy remains a constraint. While energy-saving tips exist, they are often generic, anecdotal, or focused on software development…

Software Engineering · Computer Science 2026-04-29 Wellington Oliveira

The integration of artificial intelligence (AI) into mobile applications has significantly transformed various domains, enhancing user experiences and providing personalized services through advanced machine learning (ML) and deep learning…

Software Engineering · Computer Science 2024-09-30 Yinghua Li , Xueqi Dang , Haoye Tian , Tiezhu Sun , Zhijie Wang , Lei Ma , Jacques Klein , Tegawendé F. Bissyandé

User behaviour targeting is essential in online advertising. Compared with sponsored search keyword targeting and contextual advertising page content targeting, user behaviour targeting builds users' interest profiles via tracking their…

Machine Learning · Computer Science 2016-01-12 Weinan Zhang , Lingxi Chen , Jun Wang