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Results: 1,033
Number of items: 1,033
  • Bleeker, M., & de Rijke, M. (2022). Do Lessons from Metric Learning Generalize to Image-Caption Retrieval? In M. Hagen, S. Verberne, C. Macdonald, C. Seifert, K. Balog, K. Nørvåg, & V. Setty (Eds.), Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022 : proceedings (Vol. I, pp. 535-551). (Lecture Notes in Computer Science; Vol. 13185). Springer. https://doi.org/10.1007/978-3-030-99736-6_36
  • 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
  • Siro, C., Aliannejadi, M., & de Rijke, M. (2022). Understanding User Satisfaction with Task-oriented Dialogue Systems. In SIGIR '22: proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2022, Madrid, Spain (pp. 2018-2023). The Association for Computing Machinery. https://doi.org/10.1145/3477495.3531798
  • 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
    Wu, C., Zhang, R., Guo, J., de Rijke, M., Fan, Y., & Cheng, X. (2022). PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2204.01321
  • Open Access
    Heuss, M., Sarvi, F., & de Rijke, M. (2022). Fairness of Exposure in Light of Incomplete Exposure Estimation. In SIGIR '22: proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2022, Madrid, Spain (pp. 759–769). The Association for Computing Machinery. https://doi.org/10.1145/3477495.3531977
  • Open Access
    Huang, J., Oosterhuis, H., & de Rijke, M. (2022). It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic. In WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining : February 21-25, 2022 : virtual event, Tempe, AZ, USA (pp. 381–389). Association for Computing Machinery. https://doi.org/10.1145/3488560.3498375
  • Open Access
    Zhang, Y. (2022). Malevolent dialogue response detection and evaluation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Lucic, A., Bleeker, M., Jullien, S., Bhargav, S., & de Rijke, M. (2022). Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence. In K. Sycara, V. Honavar, & M. Spaan (Eds.), Proceedings of the 36th AAAI Conference on Artificial Intelligence: AAAI-22 : virtual conference, Vancouver, Canada, February 22-March 1, 2022 (Vol. 11, pp. 12792-12800). AAAI Press. https://doi.org/10.1609/aaai.v36i11.21558
  • Open Access
    Zhang, Y., Ren, P., Deng, W., Chen, Z., & de Rijke, M. (2022). Improving Multi-label Malevolence Detection in Dialogues through Multi-faceted Label Correlation Enhancement. In S. Muresan, P. Nakov, & A. Villavicencio (Eds.), The 60th Annual Meeting of the Association for Computational Linguistics: ACL 2022 : proceedings of the conference : May 22-27, 2022 (Vol. 1, pp. 3543–3555). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.acl-long.248
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