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} }