2024-10-14
Recommendations for the recommenders: Reflections on prioritizing diversity in the RecSys Challenge
Publication
Publication
The RecSys Challenge 2024, co-organized by the Danish news outlet Ekstra Bladet, called for participants to develop a news recommender system that accurately predicts which news article a reader is most likely to select from a given list. In the context of this challenge, the organizers explicitly stated their interest in beyond-accuracy objectives. However, the setup of the challenge did not facilitate pursuing these more normative goals: a missed opportunity, given the quality of the dataset. In this paper, we highlight the issues encountered in a submission that prioritized normative diversity. We reflect on the responsibility of conferences, RecSys in particular, when it comes to promoting beyond-accuracy objectives and provide recommendations for future challenge iterations.
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| doi.org/10.1145/3687151.3687155 | |
| ACM RecSys Challenge 2024 | |
| creativecommons.org/licenses/by/4.0/ | |
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Heitz, L., Inel, O.& Vrijenhoek, S. (2024). Recommendations for the recommenders: Reflections on prioritizing diversity in the RecSys Challenge. Proceedings of the ACM Conference on Recommender Systems, 22–26.https://doi.org/10.1145/3687151.3687155 |
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