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Results: 1,025
Number of items: 1,025
  • Open Access
    Khandel, P., Yates, A. C., Varbanescu, A. L., de Rijke, M., & Pimentel, A. D. (2025). PEIR: Modeling Performance in Neural Information Retrieval. In C. Hauff, C. Macdonald, D. Jannach, G. Kazai, F. M. Nardini, F. Pinelli, F. Silvestri, & N. Tonellotto (Eds.), Advances in Information Retrieval: 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 202 : proceedings (Vol. II, pp. 279-294). (Lecture Notes in Computer Science; Vol. 15573). Springer. https://doi.org/10.1007/978-3-031-88711-6_18
  • Open Access
    Meng, C. (2025). Optimizing Agentic Workflows for Information Access. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    de Rijke, M., van den Hurk, B., Salim, F., Khourdajie, A. A., Bai, N., Calzone, R., Curran, D., Demil, G., Frew, L., Gießing, N., Gupta, M. K., Heuss, M., Hobeichi, S., Huard, D., Kang, J., Lucic, A., Mallick, T., Nath, S., Okem, A., ... Xie, Y. (2025). Report on the 1st Workshop on Information Retrieval for Climate Impact (MANILA24) at SIGIR 2024. SIGIR Forum, 59(1). https://doi.org/10.1145/3769733.3769737
  • Open Access
    Heuss, M. C. (2025). Responsible advice-giving systems: Fairness and interpretability in information retrieval. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Zhao, Y. (2025). From enhancement to exploitation: The dual role of LLMs in recommender systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Lyu, Y. (2025). Aligning language models with human understanding and behavior. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Sidiropoulos, G. (2025). Improving the robustness and effectiveness of neural retrievers in noisy and low-resource settings. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Gupta, S. (2025). Safe, efficient and robust reinforcement learning for ranking and diffusion models. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Pal, V. (2025). Information seeking over semi-structured tabular data. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Kersbergen, B., Sprangers, O., Kootte, F., Guha, S., de Rijke, M., & Schelter, S. (2024). Etude - Evaluating the Inference Latency of Session-Based Recommendation Models at Scale. In 2024 IEEE 40th International Conference on Data Engineering: ICDE 2024 : 13-17 May 2024, Utrecht, Netherlands : proceedings (pp. 5177-5183). IEEE Computer Society. https://doi.org/10.1109/icde60146.2024.00389
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