RankingSHAP - Faithful Listwise Feature Attribution Explanations for Ranking Models.
Maria Heuss|Weimao Ke|Maarten de Rijke|Weimao Ke|Maarten de Rijke|Avishek Anand|Javed Mostafa|Avishek Anand|Javed Mostafa
| Anthology ID: | DBLP:conf/sigir/HeussRA25 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 381-391 |
| URL: | https://doi.org/10.1145/3726302.3729971 |
| DOI: | https://doi.org/10.1145/3726302.3729971 |
| DBLP: | conf/sigir/HeussRA25 |
| BibTeX: |
@inproceedings{heuss-2025-rankingshap,
author = {Maria Heuss and
Weimao Ke and
Maarten de Rijke and
Weimao Ke and
Maarten de Rijke and
Avishek Anand and
Javed Mostafa and
Avishek Anand and
Javed Mostafa},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{RankingSHAP - Faithful Listwise Feature Attribution Explanations for Ranking Models}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {381--391},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3729971},
doi = {https://doi.org/10.1145/3726302.3729971}
}