Extracting per Query Valid Explanations for Blackbox Learning-to-Rank Models.
Jaspreet Singh|Megha Khosla|Zhenye Wang|Avishek Anand
| Anthology ID: | DBLP:conf/ictir/SinghKWA21 |
|---|---|
| Volume: | ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021 |
| Year: | 2021 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 203-210 |
| URL: | https://doi.org/10.1145/3471158.3472241 |
| DOI: | https://doi.org/10.1145/3471158.3472241 |
| DBLP: | conf/ictir/SinghKWA21 |
| BibTeX: |
@inproceedings{singh-2021-extracting,
author = {Jaspreet Singh and
Megha Khosla and
Zhenye Wang and
Avishek Anand},
editor = {Faegheh Hasibi and
Yi Fang and
Akiko Aizawa},
title = {{Extracting per Query Valid Explanations for Blackbox Learning-to-Rank Models}},
booktitle = {{ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021}},
pages = {203--210},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3471158.3472241},
doi = {https://doi.org/10.1145/3471158.3472241}
}