Dataset Release for Evaluation of Counterfactual Algorithms

Criteo Research is pleased to announce the release of a new dataset to serve as a large-scale standardized test-bed for the evaluation of counterfactual learning methods. Criteo Research has access to several large-scale, real-world datasets that they would like to share with the external research community with the goal of both advancing research and facilitating an easier exchange of ideas. The dataset they are releasing has been prepared in partnership with Cornell University (Thorsten Joachim’s group) and the University of Amsterdam (ILPS).

More information, including a link to download the dataset, can be found on the Criteo research blog.