Leveraging ChatGPT to Empower Training-free Dataset Condensation for Content-based Recommendation.

Jiahao Wu|Qijiong Liu|Hengchang Hu|Wenqi Fan|Shengcai Liu|Qing Li|Xiao-Ming Wu|Ke Tang


Anthology ID:DBLP:conf/www/WuLHFLLW025
Volume:Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:1402-1406
URL:https://doi.org/10.1145/3701716.3715555
DOI:https://doi.org/10.1145/3701716.3715555
DBLP:conf/www/WuLHFLLW025
BibTeX:
@inproceedings{wu-2025-leveraging, author = {Jiahao Wu and Qijiong Liu and Hengchang Hu and Wenqi Fan and Shengcai Liu and Qing Li and Xiao-Ming Wu and Ke Tang}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{Leveraging ChatGPT to Empower Training-free Dataset Condensation for Content-based Recommendation}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}}, pages = {1402--1406}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701716.3715555}, doi = {https://doi.org/10.1145/3701716.3715555} }