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Results: 1,025
Number of items: 1,025
  • Open Access
    Wu, C., Zhang, R., Guo, J., de Rijke, M., Fan, Y., & Cheng, X. (2023). PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models. ACM Transactions on Information Systems, 41(4), Article 89. https://doi.org/10.1145/3576923
  • Open Access
    Heuss, M., Cohen, D., Mansoury, M., de Rijke, M., & Eickhoff, C. (2023). Predictive Uncertainty-based Bias Mitigation in Ranking. In CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management : October 21-25, 2023, Birmingham, England (pp. 762-772). Association for Computing Machinery. https://doi.org/10.1145/3583780.3615011
  • Open Access
    Sarvi, F., Vardasbi, A., Aliannejadi, M., Schelter, S., & de Rijke, M. (2023). On the Impact of Outlier Bias on User Clicks. 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. 18-27). Association for Computing Machinery. https://doi.org/10.1145/3539618.3591745
  • Open Access
    Pal, V., Yates, A., Kanoulas, E., & de Rijke, M. (2023). MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering. In A. Rogers, J. Boyd-Graber, & N. Okazaki (Eds.), The 61st Conference of the Association for Computational Linguistics: Proceedings of the Conference : ACL 2023 : July 9-14, 2023 (Vol. 1, pp. 6322–6334). Association for Computational Linguistics. https://doi.org/10.18653/v1/2023.acl-long.348
  • Open Access
    Sarvi, F., Aliannejadi, M., Schelter, S., & de Rijke, M. (2023). How to Make an Outlier? Studying the Effect of Presentational Features on the Outlierness of Items in Product Search Results. In CHIIR'23: proceedings of the 2023 Conference on Human Information Interaction and Retrieval : March 19-23, 2023, Austin, Texas, USA (pp. 346-350). The Association for Computing Machinery. https://doi.org/10.1145/3576840.3578278
  • Open Access
    Meng, C., Aliannejadi, M., & de Rijke, M. (2023). Performance Prediction for Conversational Search Using Perplexities of Query Rewrites. In G. Faggioli, N. Ferro, J. Mothe, & F. Raiber (Eds.), Proceedings of the The QPP++ 2023: Query Performance Prediction and Its Evaluation in New Tasks Workshop: co-located with The 45th European Conference on Information Retrieval (ECIR) : Dublin, Ireland, April 6th, 2023 (pp. 25-28). (CEUR Workshop Proceedings; Vol. 3366). CEUR-WS. https://ceur-ws.org/Vol-3366/paper-05.pdf
  • Open Access
    Sprangers, O., Schelter, S., & de Rijke, M. (2023). Parameter Efficient Deep Probabilistic Forecasting. International Journal of Forecasting, 39(1), 332-345. https://doi.org/10.1016/j.ijforecast.2021.11.011
  • Open Access
    Gupta, S., Oosterhuis, H., & de Rijke, M. (2023). A Deep Generative Recommendation Method for Unbiased Learning from Implicit Feedback. In ICTIR '23: Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval : July 23, 2023, Taipei, Taiwan (pp. 87–93). Association for Computing Machinery. https://doi.org/10.1145/3578337.3605114
  • Open Access
    Fang, Y. (2023). Machine learning tasks and representations for heterogeneous information networks. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Gupta, S., Oosterhuis, H., & de Rijke, M. (2023). Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. 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. 249–258). Association for Computing Machinery. https://doi.org/10.1145/3539618.3591760
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