Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank.
Tanya Chowdhury|Razieh Rahimi|James Allan
| Anthology ID: | DBLP:conf/ictir/ChowdhuryRA23 |
|---|---|
| Volume: | Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023 |
| Year: | 2023 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 33-37 |
| URL: | https://doi.org/10.1145/3578337.3605138 |
| DOI: | https://doi.org/10.1145/3578337.3605138 |
| DBLP: | conf/ictir/ChowdhuryRA23 |
| BibTeX: |
@inproceedings{chowdhury-2023-ranklime,
author = {Tanya Chowdhury and
Razieh Rahimi and
James Allan},
editor = {Masaharu Yoshioka and
Julia Kiseleva and
Mohammad Aliannejadi},
title = {{Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank}},
booktitle = {{Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023}},
pages = {33--37},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3578337.3605138},
doi = {https://doi.org/10.1145/3578337.3605138}
}