Generative Adversarial Framework for Cold-Start Item Recommendation.
Hao Chen|Zefan Wang|Feiran Huang|Nicola Tonellotto|Xiao Huang|Nicola Tonellotto|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
Nicola Tonellotto and
Xiao Huang and
Nicola Tonellotto 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}
}