A Counterfactual Framework for Learning and Evaluating Explanations for Recommender Systems.
Oren Barkan|Veronika Bogina|Liya Gurevitch|Yuval Asher|Noam Koenigstein
| Anthology ID: | DBLP:conf/www/BarkanBGAK24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3723-3733 |
| URL: | https://doi.org/10.1145/3589334.3645560 |
| DOI: | https://doi.org/10.1145/3589334.3645560 |
| DBLP: | conf/www/BarkanBGAK24 |
| BibTeX: |
@inproceedings{barkan-2024-counterfactual,
author = {Oren Barkan and
Veronika Bogina and
Liya Gurevitch and
Yuval Asher and
Noam Koenigstein},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{A Counterfactual Framework for Learning and Evaluating Explanations for Recommender Systems}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {3723--3733},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645560},
doi = {https://doi.org/10.1145/3589334.3645560}
}