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Results: 4
Number of items: 4
  • Open Access
    Bénédict, G. (2024). A machine learning personalization flow. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
  • Vrijenhoek, S., Bénédict, G., Gutierrez Granada, M., Odijk, D., & de Rijke, M. (2022). RADio - Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations. In RecSys' 22: Proceedings of the Sixteenth ACM Conference on Recommender Systems : Seattle, WA, USA, September 18-23, 2022 (pp. 208-219). Association for Computing Machinery. https://doi.org/10.1145/3523227.3546780
  • Open Access
    Bénédict, G., Koops, H. V., Odijk, D., & de Rijke, M. (2022). sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification. Transactions on Machine Learning Research, 2022, Article 148. https://doi.org/10.48550/arXiv.2108.10566
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