Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach.
Xiaoyu Shi|Quanliang Liu|Hong Xie|Di Wu|Bo Peng|Mingsheng Shang|Defu Lian
| Anthology ID: | DBLP:journals/tois/ShiLXWPSL24 |
|---|---|
| Year: | 2024 |
| Venue: | ACM Transactions on Information Systems (TOIS) |
| Pages: | 52:1-52:30 |
| URL: | https://doi.org/10.1145/3618107 |
| DOI: | https://doi.org/10.1145/3618107 |
| DBLP: | journals/tois/ShiLXWPSL24 |
| BibTeX: |
@article{shi-2024-relieving,
author = {Xiaoyu Shi and
Quanliang Liu and
Hong Xie and
Di Wu and
Bo Peng and
Mingsheng Shang and
Defu Lian},
title = {{Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach}},
journal = {ACM Transactions on Information Systems (TOIS)},
volume = {42},
number = {2},
pages = {52:1--52:30},
year = {2024},
url = {https://doi.org/10.1145/3618107},
doi = {https://doi.org/10.1145/3618107}
}