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Related papers: An Empirical Study of Mobile Ad Targeting

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Search engines intentionally influence user behavior by picking and ranking the list of results. Users engage with the highest results both because of their prominent placement and because they are typically the most relevant documents.…

Information Retrieval · Computer Science 2022-07-14 Richard Demsyn-Jones

Third party tracking allows companies to identify users and track their behaviour across multiple digital services. This paper presents an empirical study of the prevalence of third-party trackers on 959,000 apps from the US and UK Google…

Computers and Society · Computer Science 2018-10-19 Reuben Binns , Ulrik Lyngs , Max Van Kleek , Jun Zhao , Timothy Libert , Nigel Shadbolt

Display Ads and the generalized assignment problem are two well-studied online packing problems with important applications in ad allocation and other areas. In both problems, ad impressions arrive online and have to be allocated…

Machine Learning · Computer Science 2023-05-26 Fabian Spaeh , Alina Ene

Browser fingerprinting is a pervasive online tracking technique used increasingly often for profiling and targeted advertising. Prior research on the prevalence of fingerprinting heavily relied on automated web crawls, which inherently…

Cryptography and Security · Computer Science 2025-02-04 Meenatchi Sundaram Muthu Selva Annamalai , Igor Bilogrevic , Emiliano De Cristofaro

This paper studies the measurement of advertising effects on online platforms when parallel experimentation occurs, that is, when multiple advertisers experiment concurrently. It provides a framework that makes precise how parallel…

General Economics · Economics 2024-03-01 Caio Waisman , Navdeep S. Sahni , Harikesh S. Nair , Xiliang Lin

Mobile gaming apps are woven into children's daily lives. Given their ongoing cognitive and emotional development, children are especially vulnerable and depend on designs that safeguard their well-being. When apps feature manipulative…

This paper is concerned with online targeted advertising on social networks. The main technical task we address is to estimate the activation probability for user pairs, which quantifies the influence one user may have on another towards…

Social and Information Networks · Computer Science 2025-01-28 Tsuyoshi Idé , Keerthiram Murugesan , Djallel Bouneffouf , Naoki Abe

This paper investigates advertising practices in print newspapers across India using a novel data-driven approach. We develop a pipeline employing image processing and OCR techniques to extract articles and advertisements from digital…

Computers and Society · Computer Science 2025-05-19 N Harsha Vardhan , Ponnurangam Kumaraguru , Kiran Garimella

In-app advertising closely relates to app revenue. Reckless ad integration could adversely impact app reliability and user experience, leading to loss of income. It is very challenging to balance the ad revenue and user experience for app…

Computers and Society · Computer Science 2020-08-28 Cuiyun Gao , Jichuan Zeng , David Lo , Xin Xia , Irwin King , Michael R. Lyu

We consider the revenue maximization problem in social advertising, where a social network platform owner needs to select seed users for a group of advertisers, each with a payment budget, such that the total expected revenue that the owner…

Data Structures and Algorithms · Computer Science 2021-07-27 Kai Han , Benwei Wu , Jing Tang , Shuang Cui , Cigdem Aslay , Laks V. S. Lakshmanan

Political advertising on social media has become a central element in election campaigns. However, granular information about political advertising on social media was previously unavailable, thus raising concerns regarding fairness,…

Social and Information Networks · Computer Science 2024-06-25 Dominik Bär , Francesco Pierri , Gianmarco De Francisci Morales , Stefan Feuerriegel

Choice decisions made by users of online applications can suffer from biases due to the users' level of engagement. For instance, low engagement users may make random choices with no concern for the quality of items offered. This biased…

Applications · Statistics 2016-08-30 Zhengli Wang , Tauhid Zaman

Since its introduction, television has been the main channel of investment for advertisements in order to influence customers purchase behavior. Many have attributed the mere exposure effect as the source of influence in purchase intention…

Information Retrieval · Computer Science 2019-05-01 Elisa Claire Alemán Carreón , Hirofumi Nonaka , Asahi Hentona , Hirochika Yamashiro

Mobile-phone advertising enables marketers to reach customers at a personal level and it enables the measure of costumers reaction by novel approaches, in real time, and at scale. By keeping a device anonymous, we can deliver custom adverts…

Applications · Statistics 2023-11-22 Paolo D'Alberto , Veronica Milenkiy , Fairiz Fi Azizi

Characterized by a cross-disciplinary nature, the bearing-based target localization task involves estimating the position of an entity of interest by a group of agents capable of collecting noisy bearing measurements. In this work, this…

Systems and Control · Electrical Eng. & Systems 2023-11-20 Beniamino Pozzan , Giulia Michieletto , Mehran Mesbahi , Angelo Cenedese

Smishing, or SMS-based phishing, poses an increasing threat to mobile users by mimicking legitimate communications through culturally adapted, concise, and deceptive messages, which can result in the loss of sensitive data or financial…

Machine Learning · Computer Science 2025-06-04 Shaghayegh Hosseinpour , Sanchari Das

Advertisers are increasingly turning to fingerprinting techniques to track users across the web. As web browsing activity shifts to mobile platforms, traditional browser fingerprinting techniques become less effective; however, device…

Computers and Society · Computer Science 2016-06-15 Anupam Das , Nikita Borisov , Edward Chou , Muhammad Haris Mughees

We propose a novel approach for the recommendation of possible customers (users) to advertisers (e.g., brands) based on two main aspects: (i) the comparison between On-line Social Network profiles, and (ii) neighborhood analysis on the…

Social and Information Networks · Computer Science 2020-08-06 Mariella Bonomo , Armando La Placa , Simona E. Rombo

Mobile apps provide new opportunities to people with disabilities to act independently in the world. Motivated by this trend, researchers have conducted empirical studies by using the inaccessibility issue rate of each page (i.e., screen…

Software Engineering · Computer Science 2022-03-15 Sen Chen , Chunyang Chen , Lingling Fan , Mingming Fan , Xian Zhan , Yang Liu

In sponsored search advertising, advertisers need to make a series of keyword decisions. Among them, how to group these keywords to form several adgroups within a campaign is a challenging task, due to the highly uncertain environment of…

Artificial Intelligence · Computer Science 2022-03-07 Huiran Li , Yanwu Yang
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