PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation.
Haoyu Pang|Fausto Giunchiglia|Ximing Li|Renchu Guan|Xiaoyue Feng
| Anthology ID: | DBLP:conf/www/PangGLGF22 |
|---|---|
| Volume: | WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 |
| Year: | 2022 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 348-359 |
| URL: | https://doi.org/10.1145/3485447.3511963 |
| DOI: | https://doi.org/10.1145/3485447.3511963 |
| DBLP: | conf/www/PangGLGF22 |
| BibTeX: |
@inproceedings{pang-2022-pnmta,
author = {Haoyu Pang and
Fausto Giunchiglia and
Ximing Li and
Renchu Guan and
Xiaoyue Feng},
editor = {Fr\'{e}d\'{e}rique Laforest and
Rapha\"{e}l Troncy and
Elena Simperl and
Deepak Agarwal and
Aristides Gionis and
Ivan Herman and
Lionel M\'{e}dini},
title = {{PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation}},
booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}},
pages = {348--359},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3485447.3511963},
doi = {https://doi.org/10.1145/3485447.3511963}
}