Large Language Models as Data Augmenters for Cold-Start Item Recommendation.

Jianling Wang|Haokai Lu|James Caverlee|Ed H. Chi|Minmin Chen


Anthology ID:DBLP:conf/www/WangLCCC24
Volume:Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024
Year:2024
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:726-729
URL:https://doi.org/10.1145/3589335.3651532
DOI:https://doi.org/10.1145/3589335.3651532
DBLP:conf/www/WangLCCC24
BibTeX:
@inproceedings{wang-2024-large, author = {Jianling Wang and Haokai Lu and James Caverlee and Ed H. Chi and Minmin Chen}, editor = {Tat-Seng Chua and Chong-Wah Ngo and Roy Ka-Wei Lee and Ravi Kumar and Hady Wirawan Lauw}, title = {{Large Language Models as Data Augmenters for Cold-Start Item Recommendation}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}}, pages = {726--729}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3589335.3651532}, doi = {https://doi.org/10.1145/3589335.3651532} }