Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information.
Yurou Zhao|Yiding Sun|Ruidong Han|Fei Jiang|Lu Guan|Xiang Li|Wei Lin|Weizhi Ma|Jiaxin Mao
| Anthology ID: | DBLP:conf/cikm/ZhaoSHJGL0MM24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3374-3383 |
| URL: | https://doi.org/10.1145/3627673.3679663 |
| DOI: | https://doi.org/10.1145/3627673.3679663 |
| DBLP: | conf/cikm/ZhaoSHJGL0MM24 |
| BibTeX: |
@inproceedings{zhao-2024-aligning,
author = {Yurou Zhao and
Yiding Sun and
Ruidong Han and
Fei Jiang and
Lu Guan and
Xiang Li and
Wei Lin and
Weizhi Ma and
Jiaxin Mao},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {3374--3383},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679663},
doi = {https://doi.org/10.1145/3627673.3679663}
}