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} }