{
 "id": "criteo/criteo-attribution-dataset",
 "owner": "criteo",
 "name": "criteo-attribution-dataset",
 "downloads": 10409,
 "likes": 10,
 "last_modified": "2024-03-28T08:53:42.000Z",
 "stated_licence": "cc-by-nc-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "tabular-classification"
 ],
 "citation": "This dataset is released along with the paper:\n\n[Attribution Modeling Increases Efficiency of Bidding in Display Advertising](https://arxiv.org/abs/1707.06409)\nEustache Diemert*, Julien Meynet* (Criteo Research), Damien Lefortier (Facebook), Pierre Galland (Criteo) *authors contributed equally\n2017 AdKDD & TargetAd Workshop, in conjunction with The 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017) \n\nWhen using this dataset, please cite the paper with following bibtex(final ACM bibtex coming soon):\n\n```json\n@inproceedings{DiemertMeynet2017,\nauthor = {{Diemert Eustache, Meynet Julien} and Galland, Pierre and Lefortier, Damien},\ntitle={Attribution Modeling Increases Efficiency of Bidding in Display Advertising},\npublisher = {ACM},\npages={To appear},\nbooktitle = {Proceedings of the AdKDD and TargetAd Workshop, KDD, Halifax, NS, Canada, August, 14, 2017},\nyear = {2017}\n}\n```\n\nWe would love to hear from you if use this data or plan to use it. Refer to the Contact section below.",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions."
}