PAnDA: Combating Negative Augmentation via Large Language Models for User Cold-Start Recommendations.

@inproceedings{du-2025-panda, author = {Yantong Du and Rui Chen and Xiangyu Zhao and Qilong Han and A. K. Qin}, editor = {Meeyoung Cha and Carl Yang and Senjuti Basu Roy and Chanyoung Park and Zhenhui Jessie Li and Noseong Park and Carl Yang and Senjuti Basu Roy and Zhenhui Jessie Li and Jaap Kamps and Kijung Shin and Bryan Hooi and Lifang He}, title = {{PAnDA: Combating Negative Augmentation via Large Language Models for User Cold-Start Recommendations}}, booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}}, pages = {3844--3854}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3746252.3761080}, doi = {https://doi.org/10.1145/3746252.3761080} }