criteo/criteo-attribution-dataset

Use restrictions

The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.

Licence facts reported by the dataset and its declared sources. Not legal advice, and not a grant of permission to use the dataset.

Evidence

Declared licence: cc-by-nc-sa-4.0 (from the tag)
Licence files: no licence file at the top level of the repository
Access gated on Hugging Face: no

Declared sources

No source datasets listed in the card metadata.

Signal

See all datasets marked Use restrictions.

Tasks

tabular-classification

Citation text from the card

This dataset is released along with the paper:

[Attribution Modeling Increases Efficiency of Bidding in Display Advertising](https://arxiv.org/abs/1707.06409)
Eustache Diemert&ast;, Julien Meynet&ast; (Criteo Research), Damien Lefortier (Facebook), Pierre Galland (Criteo) &ast;authors contributed equally
2017 AdKDD & TargetAd Workshop, in conjunction with The 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017) 

When using this dataset, please cite the paper with following bibtex(final ACM bibtex coming soon):

```json
@inproceedings{DiemertMeynet2017,
author = {{Diemert Eustache, Meynet Julien} and Galland, Pierre and Lefortier, Damien},
title={Attribution Modeling Increases Efficiency of Bidding in Display Advertising},
publisher = {ACM},
pages={To appear},
booktitle = {Proceedings of the AdKDD and TargetAd Workshop, KDD, Halifax, NS, Canada, August, 14, 2017},
year = {2017}
}
```

We would love to hear from you if use this data or plan to use it. Refer to the Contact section below.

Downloads (30 days): 10409. Likes: 10. Last modified: 2024-03-28T08:53:42.000Z.

View criteo/criteo-attribution-dataset on Hugging Face | JSON