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Results: 1,032
Number of items: 1,032
  • Open Access
    Yuan, Y., Siro, C., Aliannejadi, M., de Rijke, M., & Lam, W. (2024). Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search. In WWW '24: Proceedings of the ACM Web Conference 2024 : May 13-17, 2024, Singapore, Singapore (pp. 1474-1485). The Association for Computing Machinery. https://doi.org/10.48550/arXiv.2402.07742, https://doi.org/10.1145/3589334.3645483
  • Open Access
    Meng, C., Arabzadeh, N., Askari, A., Aliannejadi, M., & de Rijke, M. (2024). Ranked List Truncation for Large Language Model-based Re-Ranking. 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. 141-151). Association for Computing Machinery. https://doi.org/10.1145/3626772.3657864
  • Open Access
    Bénédict, G. (2024). A machine learning personalization flow. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Azzopardi, L., Clarke, C. L. A., Kantor, P., Mitra, B., Trippas, J. R., Ren, Z., Aliannejadi, M., Arabzadeh, N., Chandrasekar, R., de Rijke, M., Eustratiadis, P., Hersh, W., Huang, J., Kanoulas, E., Kareem, J., Li, Y., Lupart, S., Mekonnen, K. A., Roegiest, A., ... Zhao, Y. (2024). Report on the Search Futures Workshop at ECIR 2024. SIGIR Forum, 58(1). https://doi.org/10.1145/3687273.3687288
  • 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
  • Rajapakse, T. C., & de Rijke, M. (2023). Improving the Generalizability of the Dense Passage Retriever. In J. Kamps, L. Goeuriot, F. Crestani, M. Maistro, H. Joho, B. Davis, C. Gurrin, U. Kruschwitz, & A. Caputo (Eds.), Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023 : proceedings (Vol. II, pp. 94-109). (Lecture Notes in Computer Science; Vol. 13981). Springer. https://doi.org/10.1007/978-3-031-28238-6_7
  • 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
  • Hager, P., de Rijke, M., & Zoeter, O. (2023). Contrasting Neural Click Models and Pointwise IPS Rankers. In J. Kamps, L. Goeuriot, F. Crestani, M. Maistro, H. Joho, B. Davis, C. Gurrin, U. Kruschwitz, & A. Caputo (Eds.), Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023 : proceedings (Vol. I, pp. 409-425). (Lecture Notes in Computer Science; Vol. 13980). Springer. https://doi.org/10.1007/978-3-031-28244-7_26
  • Ling, Y., Cai, F., Liu, J., Chen, H., & de Rijke, M. (2023). Keep and Select: Improving hierarchical context modeling for multi-turn response generation. IEEE Transactions on Neural Networks and Learning Systems, 34(7), 3636-3649. https://doi.org/10.1109/TNNLS.2021.3112700
  • Ma, M., Ren, P., Chen, Z., Ren, Z., Liang, H., Ma, J., & de Rijke, M. (2023). Improving Transformer-based Sequential Recommenders through Preference Editing. ACM Transactions on Information Systems, 41(3), Article 71. https://doi.org/10.1145/3564282
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