38 citations · 73 across the 5 of their papers we have counts for
6 papers
Attribution Modeling Increases Efficiency of Bidding in Display Advertising
Eustache Diemert, Julien Meynet, Pierre Galland +1
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 respective…
Field-aware Factorization Machines in a Real-world Online Advertising System
Yuchin Juan, Damien Lefortier, Olivier Chapelle
Predicting user response is one of the core machine learning tasks in computational advertising. Field-aware Factorization Machines (FFM) have recently been established as a state-…
Large-scale Validation of Counterfactual Learning Methods: A Test-Bed
Damien Lefortier, Adith Swaminathan, Xiaotao Gu +2
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…
Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions
Flavian Vasile, Damien Lefortier, Olivier Chapelle
One of the most challenging problems in computational advertising is the prediction of click-through and conversion rates for bidding in online advertising auctions. An unaddressed…
Timely crawling of high-quality ephemeral new content
Damien Lefortier, Liudmila Ostroumova, Egor Samosvat +1
Nowadays, more and more people use the Web as their primary source of up-to-date information. In this context, fast crawling and indexing of newly created Web pages has become cruc…
Evolution of the Media Web
Damien Lefortier, Liudmila Ostroumova, Egor Samosvat
We present a detailed study of the part of the Web related to media content, i.e., the Media Web. Using publicly available data, we analyze the evolution of incoming and outgoing l…