An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering.
| Anthology ID: | DBLP:conf/cikm/HwangC22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 802-811 |
| URL: | https://doi.org/10.1145/3511808.3557236 |
| DOI: | https://doi.org/10.1145/3511808.3557236 |
| DBLP: | conf/cikm/HwangC22 |
| BibTeX: |
@inproceedings{hwang-2022-uncertaintyaware,
author = {Sunghyun Hwang and
Dong-Kyu Chae},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{An Uncertainty-Aware Imputation Framework for Alleviating the Sparsity Problem in Collaborative Filtering}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {802--811},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557236},
doi = {https://doi.org/10.1145/3511808.3557236}
}