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Results: 1,032
Number of items: 1,032
  • Open Access
    Fang, Y., Zhao, X., Chen, Y., Xiao, W., & de Rijke, M. (2023). PF-HIN: Pre-Training for Heterogeneous Information Networks. IEEE Transactions on Knowledge and Data Engineering, 35(8), 8372-8385. https://doi.org/10.1109/TKDE.2022.3206597
  • Open Access
    Meng, C., Arabzadeh, N., Aliannejadi, M., & de Rijke, M. (2023). Query Performance Prediction: From Ad-hoc to Conversational Search. 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. 2583-2593). Association for Computing Machinery. https://doi.org/10.1145/3539618.3591919
  • 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
    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
    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
    Meng, C., Aliannejadi, M., & de Rijke, M. (2023). System Initiative Prediction for Multi-turn Conversational Information Seeking. In CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management : October 21-25, 2023, Birmingham, England (pp. 1807-1817). Association for Computing Machinery. https://doi.org/10.1145/3583780.3615070
  • 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
    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
    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
    Bénédict, G., Jeunen, O., Papa, S., Bhargav, S., Odijk, D., & de Rijke, M. (2023). RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2306.08947
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