Towards optimizing ranking in grid-layout for provider-side fairness. Raj, A. & Ekstrand, M. D. In Proceedings of the 46th European Conference on Information Retrieval, volume 14612, of LNCS, pages 90–105, March, 2024. Springer. ![Towards optimizing ranking in grid-layout for provider-side fairness [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Information access systems, such as search engines and recommender systems, order and position results based on their estimated relevance. These results are then evaluated for a range of concerns, including provider-side fairness: whether exposure to users is fairly distributed among items and the people who created them. Several fairness-aware ranking and re-ranking techniques have been proposed to ensure fair exposure for providers, but this work focuses almost exclusively on linear layouts in which items are displayed in single ranked list. Many widely-used systems use other layouts, such as the grid views common in streaming platforms, image search, and other applications. Providing fair exposure to providers in such layouts is not well-studied. We seek to fill this gap by providing a grid-aware re-ranking algorithm to optimize layouts for provider-side fairness by adapting existing re-ranking techniques to grid-aware browsing models, and an analysis of the effect of grid-specific factors such as device size on the resulting fairness optimization.
@inproceedings{raj_towards_2024,
series = {{LNCS}},
title = {Towards optimizing ranking in grid-layout for provider-side fairness},
volume = {14612},
copyright = {All rights reserved},
url = {https://md.ekstrandom.net/pubs/ecir-fair-grids},
doi = {10.1007/978-3-031-56069-9_7},
abstract = {Information access systems, such as search engines and recommender systems, order and position results based on their estimated relevance. These results are then evaluated for a range of concerns, including provider-side fairness: whether exposure to users is fairly distributed among items and the people who created them. Several fairness-aware ranking and re-ranking techniques have been proposed to ensure fair exposure for providers, but this work focuses almost exclusively on linear layouts in which items are displayed in single ranked list. Many widely-used systems use other layouts, such as the grid views common in streaming platforms, image search, and other applications. Providing fair exposure to providers in such layouts is not well-studied. We seek to fill this gap by providing a grid-aware re-ranking algorithm to optimize layouts for provider-side fairness by adapting existing re-ranking techniques to grid-aware browsing models, and an analysis of the effect of grid-specific factors such as device size on the resulting fairness optimization.},
language = {en},
urldate = {2024-01-04},
booktitle = {Proceedings of the 46th {European} {Conference} on {Information} {Retrieval}},
publisher = {Springer},
author = {Raj, Amifa and Ekstrand, Michael D.},
month = mar,
year = {2024},
pages = {90--105},
}
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