This paper summarizes the display advertising literature, organizing the content by the
agents in the display advertising ecosystem, and proposes new research directions. In doing …

Online advertising is a marketing approach that uses numerous online channels to target
potential customers for businesses, brands, and organizations. One of the most serious …

The protection of user privacy is an important concern in machine learning, as evidenced by
the rolling out of the General Data Protection Regulation (GDPR) in the European Union …

Fraud exists in all walks of life and detecting and preventing fraud represents an important
research question relevant to many stakeholders in society. With the rise in big data and …

The most significant progress in recent years in online display advertising is what is known
as the Real-Time Bidding (RTB) mechanism to buy and sell ads. RTB essentially facilitates …

The digital advertising industry faces significant challenges due to ad fraud, which
encompasses various deceptive practices such as click fraud, domain spoofing, ad injection …

Online advertising, as a vast market, has gained significant attention in various platforms
ranging from search engines, third-party websites, social media, and mobile apps. The …

The absence of a publicly available user-click dataset makes the task of fraudster
identification particularly challenging to detect click fraud in online advertising. However, the …

Live-streaming platforms have recently gained significant popularity by attracting an
increasing number of young users and have become a very promising form of online …

Mobile advertising enjoys 51% share of the whole digital market nowadays. The advertising
ecosystem faces a major threat from ad frauds caused by false display requests or clicks …