To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation.
Zhigang Huangfu|Binbin Hu|Zhengwei Wu|Fengyu Han|Gong-Duo Zhang|Lihong Gu|Zhiqiang Zhang
| Anthology ID: | DBLP:conf/cikm/HuangfuHWHZG024 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4579-4586 |
| URL: | https://doi.org/10.1145/3627673.3680061 |
| DOI: | https://doi.org/10.1145/3627673.3680061 |
| DBLP: | conf/cikm/HuangfuHWHZG024 |
| BibTeX: |
@inproceedings{huangfu-2024-explore,
author = {Zhigang Huangfu and
Binbin Hu and
Zhengwei Wu and
Fengyu Han and
Gong-Duo Zhang and
Lihong Gu and
Zhiqiang Zhang},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {4579--4586},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3680061},
doi = {https://doi.org/10.1145/3627673.3680061}
}