Generative Adversarial Framework for Cold-Start Item Recommendation.

Hao Chen|Zefan Wang|Feiran Huang|Xiao Huang|Yue Xu|Yishi Lin|Peng He|Zhoujun Li


Anthology ID:DBLP:conf/sigir/ChenWHHXLH022
Volume:SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
Year:2022
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:2565-2571
URL:https://doi.org/10.1145/3477495.3531897
DOI:https://doi.org/10.1145/3477495.3531897
DBLP:conf/sigir/ChenWHHXLH022
BibTeX:
@inproceedings{chen-2022-generative, author = {Hao Chen and Zefan Wang and Feiran Huang and Xiao Huang and Yue Xu and Yishi Lin and Peng He and Zhoujun Li}, editor = {Enrique Amig\'{o} and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai}, title = {{Generative Adversarial Framework for Cold-Start Item Recommendation}}, booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}}, pages = {2565--2571}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3477495.3531897}, doi = {https://doi.org/10.1145/3477495.3531897} }