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 …

Classification of Web page content is essential to many tasks in Web information retrieval
such as maintaining Web directories and focused crawling. The uncontrolled nature of Web …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

Learning to rank for information retrieval has gained a lot of interest in the recent years but
there is a lack for large real-world datasets to benchmark algorithms. That led us to publicly …

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 …

In this paper we study bid optimisation for real-time bidding (RTB) based display advertising.
RTB allows advertisers to bid on a display ad impression in real time when it is being …

The automatic extraction of information from unstructured sources has opened up new
avenues for querying, organizing, and analyzing data by drawing upon the clean semantics …

The real-time bidding (RTB), aka programmatic buying, has recently become the fastest
growing area in online advertising. Instead of bulking buying and inventory-centric buying …

Behavioral Targeting (BT) is a technique used by online advertisers to increase the
effectiveness of their campaigns, and is playing an increasingly important role in the online …