Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 1,033
Number of items: 1,033
  • Oosterhuis, H., & de Rijke, M. (2021). Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions. In WSDM '21: Proceedings of the 14th ACM International Conference on Web Search and Data Mining : March 8-12, 2021, virtual event, Israel (pp. 463-471). Association for Computing Machinery. https://doi.org/10.1145/3437963.3441794
  • Li, Z., Kiseleva, Y., & de Rijke, M. (2021). Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems. In SIGIR '21: proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, virtual event, Canada (pp. 1940-1944). Association for Computing Machinery. https://doi.org/10.1145/3404835.3463004
  • Li, D., Ren, Z., Ren, P., Chen, Z., Fan, M., Ma, J., & de Rijke, M. (2021). Semi-supervised Variational Reasoning for Medical Dialogue Generation. In SIGIR '21: proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, virtual event, Canada (pp. 544-554). Association for Computing Machinery. https://doi.org/10.1145/3404835.3462921
  • Li, X., de Rijke, M., Liu, Y., Mao, J., Ma, W., Zhang, M., & Ma, S. (2021). Investigating Session Search Behavior with Knowledge Graphs. In SIGIR '21: proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, virtual event, Canada (pp. 1708-1712). Association for Computing Machinery. https://doi.org/10.1145/3404835.3463107
  • Open Access
    Lucic, A., ter Hoeve, M., Tolomei, G., de Rijke, M., & Silvestri, F. (2021). CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. In DLG-KDD’21: Deep Learning on Graphs, August 14–18, 2021, Online Article 3 ACM. https://doi.org/10.1145/1122445.1122456
  • Open Access
    Lucic, A., ter Hoeve, M., Tolomei, G., de Rijke, M., & Silvestri, F. (2021). CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2102.03322
  • Ren, P., Liu, Z., Song, X., Tian, H., Chen, Z., Ren, Z., & de Rijke, M. (2021). Wizard of Search Engine: Access to Information Through Conversations with Search Engines. In SIGIR '21: proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, virtual event, Canada (pp. 533-543). Association for Computing Machinery. https://doi.org/10.1145/3404835.3462897
  • Open Access
    Sepliarskaia, A., Genc, S., & de Rijke, M. (2021). A Deep Reinforcement Learning-Based Approach to Query-Free Interactive Target Item Retrieval. In Proceedings of the 2021 SIGIR Workshop on eCommerce (SIGIR eCom’20): July 15, 2021, Virtual Event, Montreal, Canada Article workshop paper 1 ACM. https://sigir-ecom.github.io/ecom21Papers/paper2.pdf
  • Sprangers, O., Schelter, S., & de Rijke, M. (2021). Probabilistic Gradient Boosting Machines for Large-Scale Probabilistic Regression. In KDD ’21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining : August 14-18, 2021, virtual event, Singapore (pp. 1510-1520). Association for Computing Machinery. https://doi.org/10.1145/3447548.3467278
  • Sun, W., Zhang, S., Balog, K., Ren, Z., Ren, P., Chen, Z., & de Rijke, M. (2021). Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. In SIGIR '21: proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, virtual event, Canada (pp. 2499-2506). Association for Computing Machinery. https://doi.org/10.1145/3404835.3463241
Page 13 of 104