Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems.
Philip J. Feng|Pingjun Pan|Tingting Zhou|Hongxiang Chen|Chuanjiang Luo
| Anthology ID: | DBLP:conf/cikm/FengPZCL21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 474-483 |
| URL: | https://doi.org/10.1145/3459637.3482312 |
| DOI: | https://doi.org/10.1145/3459637.3482312 |
| DBLP: | conf/cikm/FengPZCL21 |
| BibTeX: |
@inproceedings{feng-2021-zero,
author = {Philip J. Feng and
Pingjun Pan and
Tingting Zhou and
Hongxiang Chen and
Chuanjiang Luo},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {474--483},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482312},
doi = {https://doi.org/10.1145/3459637.3482312}
}