Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation.
Pengyang Li|Rong Chen|Quan Liu|Jian Xu|Bo Zheng
| Anthology ID: | DBLP:conf/sigir/LiCLXZ22 |
|---|---|
| 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: | 2013-2017 |
| URL: | https://doi.org/10.1145/3477495.3531797 |
| DOI: | https://doi.org/10.1145/3477495.3531797 |
| DBLP: | conf/sigir/LiCLXZ22 |
| BibTeX: |
@inproceedings{li-2022-transform,
author = {Pengyang Li and
Rong Chen and
Quan Liu and
Jian Xu and
Bo Zheng},
editor = {Enrique Amig\'{o} and
Pablo Castells and
Julio Gonzalo and
Ben Carterette and
J. Shane Culpepper and
Gabriella Kazai},
title = {{Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation}},
booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}},
pages = {2013--2017},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3477495.3531797},
doi = {https://doi.org/10.1145/3477495.3531797}
}