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Results: 6
Number of items: 6
  • Open Access
    Deffayet, R. E. (2024). Taming the dynamics of recommender systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Hager, P., Deffayet, R., Renders, J.-M., Zoeter, O., & de Rijke, M. (2024). Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset. In SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 14-18, 2024, Washington, DC, USA (pp. 1546-1556). Association for Computing Machinery. https://doi.org/10.1145/3626772.3657892
  • Deffayet, R., Hager, P., Renders, J.-M., & de Rijke, M. (2023). An Offline Metric for the Debiasedness of Click Models. In SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 23-27, 2023, Taipei, Taiwan (pp. 558–568). Association for Computing Machinery. https://doi.org/10.1145/3539618.3591639
  • Deffayet, R., Renders, J.-M., & de Rijke, M. (2023). Evaluating the Robustness of Click Models to Policy Distributional Shift. ACM Transactions on Information Systems, 41(4), Article 84. https://doi.org/10.1145/3569086
  • Open Access
    Bénédict, G., Zhang, R., Metzler, D., Yates, A., Deffayet, R., Hager, P., & Jullien, S. (2023). Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023. SIGIR Forum, 57(2), Article 13. https://doi.org/10.1145/3642979.3642995
  • Deffayet, R., Thonet, T., Renders, J.-M., & de Rijke, M. (2022). Offline Evaluation for Reinforcement Learning-based Recommendation: A Critical Issue and Some Alternatives. SIGIR Forum, 56(2), Article 3. https://doi.org/10.1145/3582900.3582905
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