Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating.
Hyunsik Jeon|Jong-eun Lee|Jeongin Yun|U Kang
| Anthology ID: | DBLP:conf/www/JeonLYK24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3277-3286 |
| URL: | https://doi.org/10.1145/3589334.3645377 |
| DOI: | https://doi.org/10.1145/3589334.3645377 |
| DBLP: | conf/www/JeonLYK24 |
| BibTeX: |
@inproceedings{jeon-2024-coldstart,
author = {Hyunsik Jeon and
Jong-eun Lee and
Jeongin Yun and
U Kang},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {3277--3286},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645377},
doi = {https://doi.org/10.1145/3589334.3645377}
}