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Results: 4
Number of items: 4
  • Open Access
    Li, M. (2024). Repetition and exploration in recommendation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Deng, S., Sprangers, O., Li, M., Schelter, S., & de Rijke, M. (2024). Domain Generalization in Time Series Forecasting. ACM Transactions on Knowledge Discovery from Data, 18(5), Article 113. https://doi.org/10.1145/3643035
  • Open Access
    Liu, Y., Li, M., Ariannezhad, M., Mansoury, M., Aliannejadi, M., & de Rijke, M. (2024). Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study. In N. Goharian, N. Tonellotto, Y. He, A. Lipani, G. McDonald, C. Macdonald, & I. Ounis (Eds.), Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024 : proceedings (Vol. IV, pp. 210-225). (Lecture Notes in Computer Science; Vol. 14611). Springer. https://doi.org/10.1007/978-3-031-56066-8_18
  • Open Access
    Li, M., Liu, Y., Jullien, S., Ariannezhad, M., Yates, A., Aliannejadi, M., & de Rijke, M. (2024). Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? 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. 924-934). Association for Computing Machinery. https://doi.org/10.1145/3626772.3657835
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