When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank.
Ali Vardasbi|Harrie Oosterhuis|Maarten de Rijke
| Anthology ID: | DBLP:conf/cikm/VardasbiOR20 |
|---|---|
| Volume: | CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020 |
| Year: | 2020 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1475-1484 |
| URL: | https://doi.org/10.1145/3340531.3412031 |
| DOI: | https://doi.org/10.1145/3340531.3412031 |
| DBLP: | conf/cikm/VardasbiOR20 |
| BibTeX: |
@inproceedings{vardasbi-2020-inverse,
author = {Ali Vardasbi and
Harrie Oosterhuis and
Maarten de Rijke},
editor = {Mathieu d'Aquin and
Stefan Dietze and
Claudia Hauff and
Edward Curry and
Philippe Cudr\'{e}-Mauroux},
title = {{When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank}},
booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}},
pages = {1475--1484},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3340531.3412031},
doi = {https://doi.org/10.1145/3340531.3412031}
}