An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.
Zhaoxin Huan|Gongduo Zhang|Xiaolu Zhang|Jun Zhou|Qintong Wu|Lihong Gu|Jinjie Gu|Yong He|Yue Zhu|Linjian Mo
| Anthology ID: | DBLP:conf/sigir/HuanZZZWGGHZM22 |
|---|---|
| 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: | 3403-3407 |
| URL: | https://doi.org/10.1145/3477495.3536332 |
| DOI: | https://doi.org/10.1145/3477495.3536332 |
| DBLP: | conf/sigir/HuanZZZWGGHZM22 |
| BibTeX: |
@inproceedings{huan-2022-industrial,
author = {Zhaoxin Huan and
Gongduo Zhang and
Xiaolu Zhang and
Jun Zhou and
Qintong Wu and
Lihong Gu and
Jinjie Gu and
Yong He and
Yue Zhu and
Linjian Mo},
editor = {Enrique Amig\'{o} and
Pablo Castells and
Julio Gonzalo and
Ben Carterette and
J. Shane Culpepper and
Gabriella Kazai},
title = {{An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios}},
booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}},
pages = {3403--3407},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3477495.3536332},
doi = {https://doi.org/10.1145/3477495.3536332}
}