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Results: 1,033
Number of items: 1,033
  • Open Access
    Sarvi, F. (2025). Learning to rank for e-commerce search. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Heuss, M., de Rijke, M., & Anand, A. (2025). RankingSHAP - Faithful Listwise Feature Attribution Explanations for Ranking Models. In SIGIR '25: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 13-18, 2025, Padua, Italy (pp. 381-391). Association for Computing Machinery. https://doi.org/10.1145/3726302.3729971
  • Open Access
    Mekonnen, K. A., Alemneh, Y. W., & de Rijke, M. (2025). Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds.), The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) : Findings of the Association for Computational Linguistics: ACL 2025: ACL 2025 : July 27-August 1, 2025 (pp. 10428-10445). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-acl.543
  • Open Access
    Chen, X., Liao, B., Qi, J., Eustratiadis, P., Monz, C., Bisazza, A., & de Rijke, M. (2024). The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models. In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), The 2024 Conference on Empirical Methods in Natural Language Processing : Findings of EMNLP 2024: EMNLP 2024 : November 12-16, 2024 (pp. 1691-1706). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-emnlp.92
  • Open Access
    Deffayet, R. E. (2024). Taming the dynamics of recommender systems. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Schelter, S., Grafberger, S., & de Rijke, M. (2024). Snarcase - Regain Control over Your Predictions with Low-Latency Machine Unlearning. Proceedings of the VLDB Endowment, 17(12), 4273-4276. https://doi.org/10.14778/3685800.3685853
  • Open Access
    Rajapakse, T. C., Yates, A., & de Rijke, M. (2024). Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting. 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. 575-584). Association for Computing Machinery. https://doi.org/10.1145/3626772.3657854
  • 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
  • Open Access
    Siro, C., Aliannejadi, M., & de Rijke, M. (2024). Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs. 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. 1952-1962). Association for Computing Machinery. https://doi.org/10.1145/3626772.3657712
  • Open Access
    Rajapakse, T. C., Yates, A., & de Rijke, M. (2024). Simple Transformers: Open-source for All. In SIGIR-AP '24: Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region : December 9-12, 2024, Tokyo, Japan (pp. 209-215). Association for Computing Machinery. https://doi.org/10.1145/3673791.3698412
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