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A challenge for rounded evaluation of recommender systems

The organizers of the EvalRS recommender systems competition argue that accuracy should not be the only goal and explain how they took robustness and fairness into account.

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Fig. 1: A radar chart showcasing performance across the main metric types.


  1. Tagliabue, J. et al. Preprint at (2021).

  2. Baigorria Alonso, M. Preprint at (2021).

  3. Ribeiro, M. T., Wu, T., Guestrin, C. & Singh, S. in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics 4902–4912 (2020).

  4. Chia, P. J., Tagliabue, J., Bianchi, F., He, C. & Ko, B. In Companion Proc. Web Conference 2022 99–104 (2022).

  5. Tagliabue, J. et al. Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management Vol. 3318 CEUR-WS (2022).

  6. Schedl, M. In Proc. 2016 ACM on International Conference on Multimedia Retrieval 103–110 (2016).

  7. Ke Yang, J. S. In Proc. 29th International Conference on Scientific and Statistical Database Management 1–6 (2017).

  8. Dixon, L., Li, J., Sorensen, J., Thain, N. & Vasserman, L. In Proc. 2018 AAAI/ACM Conference on AI, Ethics, and Society 67–73 (2018).

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EvalRS is based on RecList, an open source library whose development is supported by Comet, Neptune and Gantry.

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Correspondence to Jacopo Tagliabue.

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Tagliabue, J., Bianchi, F., Schnabel, T. et al. A challenge for rounded evaluation of recommender systems. Nat Mach Intell 5, 181–182 (2023).

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