Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Christoph Trattner, Lars Skjærven. Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches. In Ludovico Boratto, Stefano Faralli 0001, Mirko Marras, Giovanni Stilo, editors, Advances in Bias and Fairness in Information Retrieval - Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers. Volume 1610 of Communications in Computer and Information Science, pages 82-90, Springer, 2022. [doi]
@inproceedings{KlimashevskaiaE22,
title = {Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches},
author = {Anastasiia Klimashevskaia and Mehdi Elahi and Dietmar Jannach and Christoph Trattner and Lars Skjærven},
year = {2022},
doi = {10.1007/978-3-031-09316-6_8},
url = {https://doi.org/10.1007/978-3-031-09316-6_8},
researchr = {https://researchr.org/publication/KlimashevskaiaE22},
cites = {0},
citedby = {0},
pages = {82-90},
booktitle = {Advances in Bias and Fairness in Information Retrieval - Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers},
editor = {Ludovico Boratto and Stefano Faralli 0001 and Mirko Marras and Giovanni Stilo},
volume = {1610},
series = {Communications in Computer and Information Science},
publisher = {Springer},
isbn = {978-3-031-09316-6},
}