Attribution Inference for Digital Advertising using Inhomogeneous Poisson Models.
| Anthology ID: | DBLP:conf/www/NicholsS18 |
|---|---|
| Volume: | Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018 |
| Year: | 2018 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1885-1892 |
| URL: | https://doi.org/10.1145/3178876.3186171 |
| DOI: | https://doi.org/10.1145/3178876.3186171 |
| DBLP: | conf/www/NicholsS18 |
| BibTeX: |
@inproceedings{nichols-2018-attribution,
author = {Zachary Nichols and
Adam Stein},
editor = {Pierre-Antoine Champin and
Fabien Gandon and
Mounia Lalmas-Roelleke and
Panagiotis G. Ipeirotis},
title = {{Attribution Inference for Digital Advertising using Inhomogeneous Poisson Models}},
booktitle = {{Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018}},
pages = {1885--1892},
publisher = {ACM},
year = {2018},
url = {https://doi.org/10.1145/3178876.3186171},
doi = {https://doi.org/10.1145/3178876.3186171}
}