Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 1,033
Number of items: 1,033
  • Open Access
    Vardasbi, A., Oosterhuis, H., & de Rijke, M. (2020). When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank. In CIKM '20: proceedings of the 29th ACM International Conference on Information & Knowledge Management : October 19-23, 2020, Virtual Event, Ireland (pp. 1475–1484). The Association for Computing Machinery. https://doi.org/10.1145/3340531.3412031
  • Open Access
    Pan, Z., Cai, F., Ling, Y., & de Rijke, M. (2020). Rethinking Item Importance in Session-based Recommendation. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 1837-1840). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401274
  • Open Access
    Zhang, Y., Ren, P., & de Rijke, M. (2020). Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology. (v1 ed.) https://arxiv.org/abs/2008.09706
  • Open Access
    Jagerman, R. M. (2020). Efficient, safe and adaptive learning from user interactions. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Lin, Y., Ren, P., Chen, Z., Ren, Z., Yu, D., Ma, J., de Rijke, M., & Cheng, X. (2020). Meta Matrix Factorization for Federated Rating Predictions. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 981–990). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401081
  • Open Access
    Jagerman, R., & de Rijke, M. (2020). Accelerated Convergence for Counterfactual Learning to Rank. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 469–478). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401069
  • Open Access
    Pan, Z., Cai, F., Chen, W., Chen, H., & de Rijke, M. (2020). Star Graph Neural Networks for Session-based Recommendation. In CIKM '20: proceedings of the 29th ACM International Conference on Information & Knowledge Management : October 19-23, 2020, Virtual Event, Ireland (pp. 1195–1204). The Association for Computing Machinery. https://doi.org/10.1145/3340531.3412014
  • Open Access
    Jagerman, R., Markov, I., & de Rijke, M. (2020). Safe Exploration for Optimizing Contextual Bandits. (pp. 23). ArXiv. https://doi.org/10.48550/arXiv.2002.00467
  • Open Access
    Ren, P., Chen, Z., Monz, C., Ma, J., & de Rijke, M. (2020). Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. In AAAI-20, IAAI-20, EAAI-20 proceedings: Thirty-Fourth AAAI Conference on Artificial Intelligence, Thirty-Second Conference on Innovative Applications of Artificial Intelligence, The Tenth Symposium on Educational Advances in Artificial Intelligence : February 7–12th, 2020, New York Hilton Midtown, New York, New York, USA (Vol. 5, pp. 8697-8704). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 34). AAAI Press. https://doi.org/10.1609/aaai.v34i05.6395
  • Open Access
    Vakulenko, S., Kanoulas, E., & de Rijke, M. (2020). An Analysis of Mixed Initiative and Collaboration in Information-Seeking Dialogues. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 2085-2088). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401297
Page 18 of 104