Reinforcement learning algorithms describe how an agent can learn an optimal action policy
in a sequential decision process, through repeated experience. In a given environment, the …

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 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 …

Sponsored search has been proven to be a successful business model, and sponsored
search auctions have become a hot research direction. There have been many exciting …

We present TestEra, a novel framework for automated testing of Java programs. TestEra
automatically generates all non-isomorphic test cases within a given input size and …

Bidding optimization is one of the most critical problems in online advertising. Sponsored
search (SS) auction, due to the randomness of user query behavior and platform nature …

In sponsored search advertising (SSA), advertisers need to select keywords and determine
matching types for selected keywords simultaneously, ie, keyword targeting. An optimal …

This paper is concerned with the joint allocation of bid price and campaign budget in
sponsored search. In this application, an advertiser can create a number of campaigns and …

In sponsored search advertising, advertisers bid to be displayed in response to a keyword
search. The operational activities associated with participating in an auction, ie, submitting …

Online social network advertising platforms, such as that provided by LinkedIn, generally
allow marketers to specify targeting options so that their ads appear to a desired …