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} }