Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems.
| Anthology ID: | DBLP:journals/tist/AhnL24 |
|---|---|
| Year: | 2024 |
| Venue: | ACM Transactions on Intelligent Systems and Technology (TIST) |
| Pages: | 73:1-73:20 |
| URL: | https://doi.org/10.1145/3650044 |
| DOI: | https://doi.org/10.1145/3650044 |
| DBLP: | journals/tist/AhnL24 |
| BibTeX: |
@article{ahn-2024-break,
author = {Yongsu Ahn and
Yu-Ru Lin},
title = {{Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems}},
journal = {ACM Transactions on Intelligent Systems and Technology (TIST)},
volume = {15},
number = {4},
pages = {73:1--73:20},
year = {2024},
url = {https://doi.org/10.1145/3650044},
doi = {https://doi.org/10.1145/3650044}
}