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}
}