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} }