Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding.
Ya-Lin Zhang|Caizhi Tang|Lu Yu|Jun Zhou|Longfei Li|Qing Cui|Fangfang Fan|Linbo Jiang|Xiaosong Zhao
| Anthology ID: | DBLP:conf/wsdm/0001T0ZLCFJZ24 |
|---|---|
| Volume: | Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024 |
| Year: | 2024 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1102-1105 |
| URL: | https://doi.org/10.1145/3616855.3635688 |
| DOI: | https://doi.org/10.1145/3616855.3635688 |
| DBLP: | conf/wsdm/0001T0ZLCFJZ24 |
| BibTeX: |
@inproceedings{zhang-2024-domain,
author = {Ya-Lin Zhang and
Caizhi Tang and
Lu Yu and
Jun Zhou and
Longfei Li and
Qing Cui and
Fangfang Fan and
Linbo Jiang and
Xiaosong Zhao},
editor = {Luz Angelica Caudillo-Mata and
Silvio Lattanzi and
Andr\'{e}s Mu\~{n}oz Medina and
Leman Akoglu and
Aristides Gionis and
Sergei Vassilvitskii},
title = {{Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding}},
booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}},
pages = {1102--1105},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3616855.3635688},
doi = {https://doi.org/10.1145/3616855.3635688}
}