Imperial College London
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ProfessorMichaelBronstein

Faculty of Engineering, Department of Computing

Visiting Professor
 
 
 
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Contact

 

m.bronstein Website

 
 
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Location

 

569Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Belli:2021:10.1145/3487572.3487573,
author = {Belli, L and Tejani, A and Portman, F and Lung-Yut-Fong, A and Chamberlain, B and Xie, Y and Hunt, J and Bronstein, M and Anelli, VW and Kalloori, S and Ferwerda, B and Shi, W},
doi = {10.1145/3487572.3487573},
pages = {1--6},
title = {The 2021 RecSys Challenge Dataset: Fairness is not optional},
url = {http://dx.doi.org/10.1145/3487572.3487573},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - After the success the RecSys 2020 Challenge, we are describing a novel and bigger dataset that was released in conjunction with the ACM RecSys Challenge 2021. This year's dataset is not only bigger (1B data points, a 5 fold increase), but for the first time it take into consideration fairness aspects of the challenge. Unlike many static datsets, a lot of effort went into making sure that the dataset was synced with the Twitter platform: if a user deleted their content, the same content would be promptly removed from the dataset too. In this paper, we introduce the dataset and challenge, highlighting some of the issues that arise when creating recommender systems at Twitter scale.
AU  - Belli,L
AU  - Tejani,A
AU  - Portman,F
AU  - Lung-Yut-Fong,A
AU  - Chamberlain,B
AU  - Xie,Y
AU  - Hunt,J
AU  - Bronstein,M
AU  - Anelli,VW
AU  - Kalloori,S
AU  - Ferwerda,B
AU  - Shi,W
DO  - 10.1145/3487572.3487573
EP  - 6
PY  - 2021///
SP  - 1
TI  - The 2021 RecSys Challenge Dataset: Fairness is not optional
UR  - http://dx.doi.org/10.1145/3487572.3487573
ER  -
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