How algorithmic confounding in recommendation systems increases homogeneity and decreases utility (bibtex)
by Allison J.B. Chaney, Brandon M. Stewart, Barbara E. Engelhardt
Reference:
Allison J.B. Chaney, Brandon M. Stewart, Barbara E. Engelhardt. How algorithmic confounding in recommendation systems increases homogeneity and decreases utility, 12th ACM Conference on Recommender Systems, 2018.
Bibtex Entry:
@article{Chaney2018,
archivePrefix = {arXiv},
arxivId = {1710.11214},
author = {Chaney, Allison J.B. and Stewart, Brandon M. and Engelhardt, Barbara E.},
eprint = {1710.11214},
year={2018},
journal = {12th ACM Conference on Recommender Systems},
title = {{How algorithmic confounding in recommendation systems increases homogeneity and decreases utility}},
url = {http://arxiv.org/abs/1710.11214}
}
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