Predicting the probability that a user will click on a specific advertisement has been a
prevalent issue in online advertising, attracting much research attention in the past decades …

Predicting user responses, such as clicks and conversions, is of great importance and has
found its usage inmany Web applications including recommender systems, websearch 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 …

In the aspect of a Demand-Side Platform (DSP), which is the agent of advertisers, we study
how to predict the winning price such that the DSP can win the bid by placing a proper …

The worldwide adoption of mobile devices is raising the value of Mobile Performance
Marketing, which is supported by Demand-Side Platforms (DSP) that match mobile users to …

This paper introduces Ibex, an advertising system that reduces the amount of data that is
collected on users while still allowing advertisers to bid on real-time ad auctions and …

In real-time display advertising, ad slots are sold per impression via an auction mechanism.
For an advertiser, the campaign information is incomplete---the user responses (eg, clicks or …

Predicting click and conversion probabilities when bidding on ad exchanges is at the core of
the programmatic advertising industry. Two separated lines of previous works respectively …

Real-Time Bidding (RTB) has shown remarkable success in display advertising and has
been employed in other advertising scenarios, eg, sponsored search advertising with …

We generalize the winning price model to incorporate the deep learning models with
different distributions and propose an algorithm to learn from the historical bidding …