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Results: 1,032
Number of items: 1,032
  • Open Access
    Oosterhuis, H., & de Rijke, M. (2019). Optimizing Ranking Models in an Online Setting. In L. Azzopardi, B. Stein, N. Fuhr, P. Mayr, C. Hauff, & D. Hiemstra (Eds.), Advances in Information Retrieval: 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019 : proceedings (Vol. 1, pp. 382-396). (Lecture Notes in Computer Science; Vol. 11437). Springer. https://doi.org/10.1007/978-3-030-15712-8_25
  • Open Access
    Lin, Y., Ren, P., Chen, Z., Yu, D., Ma, J., de Rijke, M., & Cheng, X. (2019). From Personalization to Privatization: Meta Matrix Factorization for Private Rating Predictions. (v1 ed.) ArXiv.
  • Open Access
    Olteanu, A., Garcia-Gathright, J., de Rijke, M., & Ekstrand, M. D. (Eds.) (2019). Proceedings of FACTS-IR 2019. ArXiv. https://arxiv.org/abs/1907.05755
  • Open Access
    Dehghani, M., Azarbonyad, H., Kamps, J., & de Rijke, M. (2019). Learning to Transform, Combine, and Reason in Open-domain Question Answering. In WSDM'19: proceedings of the Twelfth ACM International Conference on Web Search and Data Mining : February 11-15, 2019 : Melbourne, Australia (pp. 681–689). Association for Computing Machinery. https://doi.org/10.1145/3289600.3291012
  • Open Access
    Lucic, A., Haned, H., & de Rijke, M. (2019). Contrastive Explanations for Large Errors in Retail Forecasting Predictions through Monte Carlo Simulations. In T. Miller, R. Weber, & D. Magazzeni (Eds.), Proceedings of the IJCAI 2019 Workshop on Explainable Artificial Intelligence (pp. 66-72). IJCAI. https://arxiv.org/abs/1908.00085v1
  • Open Access
    de Rijke, M. (2019). Reinforcement learning to rank. 5. Abstract from 12th ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, Australia. https://doi.org/10.1145/3289600.3291605
  • Open Access
    Pei, J., Ren, P., & de Rijke, M. (2019). A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts. In 1st Workshop on Conversational Interaction Systems (WCIS): accepted papers Article 5 WCIS. https://arxiv.org/abs/1907.05346
  • Open Access
    Li, C., Kveton, B., Lattimore, T., Markov, I., de Rijke, M., Szepesvári, C., & Zoghi, M. (2019). BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback. In A. Globerson, & R. Silva (Eds.), Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence: UAI 2019, Tel Aviv, Israel, July 22-25, 2019 Article 47 AUAI Press. http://auai.org/uai2019/proceedings/papers/47.pdf
  • Open Access
    Ren, P., Lin, Y., Ma, M., Chen, Z., Ren, Z., Ma, J., & de Rijke, M. (2019). Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations. (v1 ed.) ArXiv. https://arxiv.org/abs/1910.02448v1
  • Open Access
    Sepliarskaia, A., Kiseleva, J., & de Rijke, M. (2019). Evaluating Disentangled Representations. (v1 ed.) ArXiv. https://arxiv.org/abs/1910.05587
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