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Found 4 papers, 1 papers with code
Attribution Modeling Increases Efficiency of Bidding in Display Advertising
Predicting click and conversion probabilities when bidding on ad exchanges is at the core of the programmatic advertising industry.
Field-aware Factorization Machines in a Real-world Online Advertising System
Predicting user response is one of the core machine learning tasks in computational advertising.
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed
The ability to perform effective off-policy learning would revolutionize the process of building better interactive systems, such as search engines and recommendation systems for e-commerce, computational advertising and news.
Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions
One of the most challenging problems in computational advertising is the prediction of click-through and conversion rates for bidding in online advertising auctions.
