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The 2021 RecSys Challenge Dataset: Fairness is Not Optional
Twitter Inc., San Francisco, USA.
Twitter Inc., London, UK.
Twitter Inc., San Francisco, USA.
Twitter Inc., London, UK.
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2021 (English)In: Proceedings of the Recommender Systems Challenge 2021, Association for Computing Machinery (ACM) , 2021, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

After the success the RecSys 2020 Challenge, we are describing anovel and bigger dataset that was released in conjunction with theACM 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 intoconsideration fairness aspects of the challenge. Unlike many staticdatsets, a lot of effort went into making sure that the dataset wassynced 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, highlightingsome of the issues that arise when creating recommender systemsat Twitter scale. 

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2021. p. 1-6
Keywords [en]
fairness challenge, twitter, recommender system, large-scale dataset, engagement prediction, personalization
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hj:diva-58605DOI: 10.1145/3487572.3487573Scopus ID: 2-s2.0-85140909302ISBN: 978-1-4503-8693-7 (electronic)OAI: oai:DiVA.org:hj-58605DiVA, id: diva2:1702092
Conference
RecSysChallenge '21, the Recommender Systems Challenge 2021, October 2021
Available from: 2022-10-10 Created: 2022-10-10 Last updated: 2025-10-13Bibliographically approved

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Ferwerda, Bruce

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Citation style
  • apa
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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