Data are invaluable. How can we assess the value of data objectively, systematically and
quantitatively? Pricing data, or information goods in general, has been studied and practiced …

Real-Time Bidding (RTB) is one of the most important forms of online advertising, where an
auction is hosted in real time to sell the individual ad impression. How to design an …

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

Learning to hash is a fundamental technique widely used in large-scale image retrieval.
Most existing methods for learning to hash address the involved discrete optimization …

Artificial intelligence-empowered Real-Time Bidding (AIRTB) is regarded as one of the most
enabling technologies for online advertising. It has attracted significant research attention …

Online advertising has been one of the most important sources for industry's growth, where
the demand-side platforms (DSP) play an important role via bidding to the ad exchanges on …

In E-commerce, advertising is essential for merchants to reach their target users. The typical
objective is to maximize the advertiser's cumulative revenue over a period of time under a …

Position bias is a critical problem in information retrieval when dealing with implicit yet
biased user feedback data. Unbiased ranking methods typically rely on causality models …

The rapid rise of real-time bidding-based online advertising has brought significant
economic benefits and attracted extensive research attention. From the perspective of an …

Real-time Bidding (RTB) advertisers wish to know in advance the expected cost and yield of
ad campaigns to avoid trial-and-error expenses. However, Campaign Performance …