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} }